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Heuristics for perishable inventory systems under mixture issuance policies Omega (IF 6.9) Pub Date : 2024-03-21 Jingying Ding, Zhenkang Peng
We consider a periodic review inventory control problem of perishable goods with a fixed lifetime. Instead of considering either FIFO or LIFO issuance policy, we incorporate customers’ behavior in the retail setting using a mixture of FIFO and LIFO issuance policy. First, we characterize properties of inventory transitions under a mixture of FIFO and LIFO policies and show that the sequence of demand
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Impact of privacy regulation involving information collection on the ride-hailing market Omega (IF 6.9) Pub Date : 2024-03-20 Fapeng Nie, Xiang Li, Chang Zhou
Ride-hailing platforms can indirectly adjust privacy-sensitive customers’ demand via pricing and information collection strategies while encouraging drivers to provide services by offering an attractive wage rate. Since the privacy information collected by platforms brings some negative effects, governments enact privacy regulations to protect customer privacy. Inspired by this observation, our paper
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Flexible global forecast combinations Omega (IF 6.9) Pub Date : 2024-03-19 Ryan Thompson, Yilin Qian, Andrey L. Vasnev
Forecast combination—the aggregation of individual forecasts from multiple experts or models—is a proven approach to economic forecasting. To date, research on economic forecasting has concentrated on local combination methods, which handle separate but related forecasting tasks in isolation. Yet, it has been known for over two decades in the machine learning community that global methods, which exploit
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Omnichannel Product Selection and Shelf Space Planning Optimization Omega (IF 6.9) Pub Date : 2024-03-18 Yajing Chen, Zhimin Wu, Yunlong Wang
As the retail industry is evolving toward an omnichannel paradigm, we study a product selection and shelf space planning problem faced by omnichannel retailers. We aim to maximize aggregated profits across channels by determining the optimal product offerings for the offline and online channels while optimizing the allocation of limited shelf space to these products in brick-and-mortar stores. Furthermore
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Multiple Directions for Measuring Biased Technical Change Omega (IF 6.9) Pub Date : 2024-03-16 Hideyuki Mizobuchi
The technological change component of the Malmquist productivity index is defined as the radial distance between isoquants along a single direction. Therefore, it relies on limited information to measure technological change, which is a naturally global phenomenon. This becomes problematic, particularly when technological change is not Hicks-neutral but biased towards certain inputs or outputs. To
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Better decisions with less cognitive load: The Parsimonious BWM Omega (IF 6.9) Pub Date : 2024-03-13 Salvatore Corrente, Salvatore Greco, Jafar Rezaei
Despite its recent introduction in literature, the Best–Worst Method (BWM) is among the most well-known and applied methods in Multicriteria Decision-Making. The method can be used to elicit the relative importance (weight) of the criteria as well as to get the priorities of the alternatives on the criteria at hand. In this paper, we will present an extension of the method, namely, the parsimonious
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Newsvendor overconfidence and advertising Omega (IF 6.9) Pub Date : 2024-03-13 Xin Chen, Weijun Xu, Meng Wu
Overconfidence, as the most robust behavioral bias, has been confirmed to be a leading cause of human newsvendors’ pull-to-center (PTC) ordering bias. Most existing studies have focused solely on inventory decisions, overlooking the complexities that arise from the interface between operations management (OM) and marketing. As marketing and OM become increasingly intertwined and make decision-making
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Modeling criteria and project interactions in portfolio decision analysis with the Choquet integral Omega (IF 6.9) Pub Date : 2024-03-11 Matteo Brunelli, Salvatore Corrente
We present a general framework to deal with multicriteria portfolio decision analysis problems in which between-projects independence or within-project independence do not necessarily hold. The Choquet integral preference model is a non-additive integral widely used in multicriteria decision analysis to take into account the possible interactions between criteria. In this case, we apply the Choquet
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Delivery arrangement in online distribution channels under different power structures Omega (IF 6.9) Pub Date : 2024-03-08 Xiongwei Zhou, Chaoqun Zhu, Dan Cai
Logistics delivery is a critical but costly operation in e-commerce. The e-retailer who sells products online may ask the supplier to ship products to customers, and the supplier responds by accepting or rejecting such a delivery proposal. Motivated by these observations, we consider an online distribution channel with two competing suppliers and one common e-retailer and analytically characterize
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Weighing in on the average weights: Measuring corporate social performance (CSP) score using DEA Omega (IF 6.9) Pub Date : 2024-03-06 Chien-Ming Chen, Dan Li
This study develops a new DEA approach to incorporate such market-level information (i.e., average weights over firms) to create a composite corporate social performance (CSP) measure. The new model addresses the challenge that stakeholder expectations—expressed as the CSP weights of different CSP dimensions—are usually unknown at the firm level, but some reliable estimates of the average weights (across
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Playing Stackelberg Security Games in perfect formulations Omega (IF 6.9) Pub Date : 2024-03-02 Pamela Bustamante-Faúndez, Víctor Bucarey L., Martine Labbé, Vladimir Marianov, Fernando Ordoñez
Protecting critical infrastructure from intentional damage requires foreseeing the strategies of possible attackers. We formulate this problem as a Stackelberg Security Game. A must decide which specific targets to protect with limited resources, thus maximizing their expected utility (e.g., minimizing damage value) and considering that a second player (or players), called an , responds in the best
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A continuous approximation approach to integrated truck and drone delivery systems Omega (IF 6.9) Pub Date : 2024-03-02 Juan Zhang, James F. Campbell, Donald C. Sweeney II
Home package delivery by drones as an alternative or complement to traditional delivery by trucks is attracting considerable attention from the commercial sector as well as academia. While drone delivery may offer considerable benefits, the fundamental issues of how best to deploy drones for small package delivery are still not well understood. Unlike most studies in the literature that consider either
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Holding diverse market beliefs by firms: Information flow, profit performances, and channel structure Omega (IF 6.9) Pub Date : 2024-03-02 Li Jiang, Zhongyuan Hao
We investigate the impact of diverse market beliefs held by supply chain firms on information flow and channel efficiency. In presentative settings, suppliers sell substitutable products through retailers to a market with uncertain demand and market competition is in quantity. Structure comprises a monopolistic supplier and a monopolistic retailer. With respect to structure , structure includes competition
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A unified framework for nonperforming loan modeling in bank production: An application of Data Envelopment Analysis Omega (IF 6.9) Pub Date : 2024-02-22 Hirofumi Fukuyama, Roman Matousek, Nickolaos G. Tzeremes
The aim of this paper is to conduct a comparative analysis of three environmental approaches in the context of a bank production framework, considering the presence of nonperforming loans (NPLs). Specifically, we examine banks' inefficiency levels using the "by-production technology," "joint-weak disposable technology," and "material balanced technology." To ensure comparability within a directional
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A robust optimization approach for placement of applications in edge computing considering latency uncertainty Omega (IF 6.9) Pub Date : 2024-02-21 Jaehee Jeong, Gopika Premsankar, Bissan Ghaddar, Sasu Tarkoma
Edge computing brings computing and storage resources close to end-users to support new applications and services that require low network latency. It is currently used in a wide range of industries, from industrial automation and augmented reality, to smart cities and connected vehicles, where low latency, data privacy, and real-time processing are critical requirements. The latency of accessing such
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Integrated multi-product reverse supply chain design and disassembly line balancing under uncertainty Omega (IF 6.9) Pub Date : 2024-02-21 Peng Hu, Feng Chu, Alexandre Dolgui, Chengbin Chu, Ming Liu
End-of-life (EOL) product recycling has received increasing attention because of potential environmental, social and economic benefits. A well-designed reverse supply chain (RSC) can efficiently handle EOL products. As the critical activity in the RSC, the disassembly process decomposes collected EOL products into components to fulfill the demands of remanufacturing plants. Efficiently coordinating
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A novel regret-rejoice cross-efficiency approach for energy stock portfolio optimization Omega (IF 6.9) Pub Date : 2024-02-21 Yong-Jun Liu, Guo-Sen Yang, Wei-Guo Zhang
As climate change intensifies, more and more people realize that it is necessary and urgent to optimize energy structure through constructing energy asset portfolios. However, most of existing literature on energy asset portfolio models neglects real market restrictions, and the related portfolio performance evaluation approaches ignore the impact of the psychological factors of decision makers (DMs)
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A study on policy decisions to embed flexibility for reactive recovery in the planning and scheduling process in operating rooms Omega (IF 6.9) Pub Date : 2024-02-20 Babak Akbarzadeh, Broos Maenhout
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Pricing decisions of online and offline dual-channel supply chains considering data resource mining Omega (IF 6.9) Pub Date : 2024-02-17 Zaoli Yang, Wen-Long Shang, Lin Miao, Shivam Gupta, Zhengli Wang
Data resources, a fundamental component in the digital economy, play a vital role for businesses aiming to establish a lasting competitive edge. A company's data resources can uniquely influence the decisions surrounding products and services within the supply chain. The integrated dual-channel supply chain (DCSC) involves direct online channels utilized by manufacturing service providers alongside
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Do blockchain capabilities help overcome supply and operational risks: Insights from firm market returns during COVID-19 Omega (IF 6.9) Pub Date : 2024-02-16 Chunguang Bai, Qingyun Zhu, Joseph Sarkis
Uncertainty and risk have become increasingly prominent issues in firm operating environments. Addressing uncertainties and risks brought by the historically disruptive COVID-19 pandemic crisis requires organizations to establish reliable, visible, and traceable information processing and sharing capabilities. Blockchain is a disruptive technology that can build capabilities to support operational
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Multi-day tourism recommendations for urban tourists considering hotel selection: A heuristic optimization approach Omega (IF 6.9) Pub Date : 2024-02-13 Lunwen Wu, Zhouyiying Wang, Zhixue Liao, Di Xiao, Peng Han, Wenyong Li, Qin Chen
With the development of tourism, digital technology is increasingly being applied in the design of tourist routes. This study takes into account that tourists are experience-driven in tourism activities and hotel selections. In this study, the tourist trip design problem with hotel selection is formulated based on bi-objective optimization with total utility of the points of interest maximization and
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Multi-criteria decision-aiding for public hospitals: The role of interactions among pairs of access and quality criteria Omega (IF 6.9) Pub Date : 2024-02-09 Beatriz Cagigal Gregório, Miguel Alves Pereira, Ana Sara Costa
More robust and resilient health systems must safeguard populations and economies in search of a more sustainable future. Their complexity, alongside the crises they have been facing, postulates the need for appropriate performance assessment mechanisms to improve the access and quality of their services. Given the existence of multiple criteria regarding these dimensions, this work proposes a collaborative
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Multicriteria panel-data directional distances and the efficiency measurement of multidimensional higher education systems Omega (IF 6.9) Pub Date : 2024-02-07 Thyago C.C. Nepomuceno, Tommaso Agasisti, Alice Bertoletti, Cinzia Daraio
In this paper, we introduce the notion of multicriteria-based directional distance determination for estimating the efficiency of decision units under different (and sometimes conflicting) interests and objectives. Different objectives are interpreted as different dimensions of a production system. Multidimensional industries, such as the Higher Education system, usually have clear preference structures
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Social responsibility disclosure format in a supply chain Omega (IF 6.9) Pub Date : 2024-02-05 Xiaoqing Fan, Jianxiong Zhang, Yao Yao, Liqun Wei
With a growing emphasis on corporate social responsibility (SR), companies are increasingly engaging in SR disclosure activities to establish transparency and enhance consumer confidence in the SR efforts of their supply chains. In this study, we introduce a game-theoretic model that examines the dynamic interplay of SR investment and disclosure within a supply chain. In our model, the supplier decides
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Exact decomposition approaches for a single container loading problem with stacking constraints and medium-sized weakly heterogeneous items Omega (IF 6.9) Pub Date : 2024-02-02 Maxence Delorme, Joris Wagenaar
We consider a real-world three-dimensional container loading problem in which the objective is to maximize the volume of the items packed into a single vehicle. While container loading problems have been extensively studied in the literature, our case study displays a set of item features (rotation, medium-sized dimensions, stackability, weak heterogeneity) that was not often considered together in
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Integrating time-temperature dependent deterioration in the economic order quantity model for perishable products in multi-echelon supply chains Omega (IF 6.9) Pub Date : 2024-02-01 G.D.H. Claassen, P. Kirst, A. Thai Thi Van, J.C.M.A. Snels, X. Guo, P. van Beek
This paper focuses on a novel approach for managing cold chains of highly perishable products. We extend the classical and frequently applied Economic Order Quantity model (EOQ) for its application in multi-echelon supply chains for highly perishable products. Literature shows that order-level inventory systems for perishable items are commonly modelled by parametric approaches e.g., a time-dependent
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Passenger service-oriented timetable rescheduling for large-scale disruptions in a railway network: A heuristic-based alternating direction method of multipliers Omega (IF 6.9) Pub Date : 2024-02-01 Cong Xiu, Jinyi Pan, Andrea D'Ariano, Shuguang Zhan, Qiyuan Peng
Unpredictable disruptions arising in railway operations can cause significant inconvenience for passengers, including missed connections or deviations from their travel plans. To address this issue, this paper proposes a service-oriented timetable rescheduling approach to assist dispatchers in managing major disruptions in a railway system that incorporates a seat reservation mechanism. The railway
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Sales pricing models based on returns: Bundling vs. add-on Omega (IF 6.9) Pub Date : 2024-01-24 Tengfei Nie, Bo Song, Jianghua Zhang
With the proliferation of e-commerce, there has been a remarkable surge in the volume of products sold online, accompanied by a corresponding increase in product returns. In order to stimulate consumer demand, retailers have adopted various promotional strategies, among which the bundling and add-on sales have emerged as the most prevalent. Nevertheless, there is currently no clearly dominant promotion
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A simulation study on the probabilities of rank reversal, tie making, and tie breaking for multiple criteria decision making methods Omega (IF 6.9) Pub Date : 2024-01-24 Lisheng Jiang, Huchang Liao, Bernard De Baets
Multiple criteria decision making (MCDM) methods can be affected by preference reversal, meaning that the order of two alternatives is reversed after adding or deleting another alternative. Here, we focus on methods that produce rankings with ties (i.e., weak orders). In this context, one usually talks about rank reversal. Existing rank reversal probability simulation experiments are subject to improvement
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Sustainable sourcing contracts under supplier capital constraints and information asymmetry Omega (IF 6.9) Pub Date : 2024-01-23 Zahra Mirzajani, Mohammad E. Nikoofal, Saeed Zolfaghari
In this study, we analyze the challenges faced by manufacturers in promoting sustainability throughout their supply chains when the supplier is capital-constrained, has private access to production cost information, and must choose between regular and sustainable production. We develop a dyadic supply chain model to determine the optimal advanced payment contract under asymmetric information. Our comparative
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Decision support framework for tactical emergency medical service location planning Omega (IF 6.9) Pub Date : 2024-01-15 Matthias Grot
A well-designed emergency medical services (EMS) system is essential to provide the best possible quality of care to patients in emergencies. Exogenous effects, such as demographic change or extreme weather conditions, lead to a continuous increase in emergency calls. On the other hand, emergency vehicles and qualified personnel are limited. Consequently, there is a continuous need to improve the existing
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Mail back or in-store dropoff? Optimal design of product-exchange policies in omnichannel retailing systems Omega (IF 6.9) Pub Date : 2024-01-17 Ke Sun, Yunan Liu, Xiang Li
Online retailing has been booming over the past several years as people grow increasingly comfortable with it and accustomed to its ease and speed. A major drawback of online retailing is the lack of consumer–product interaction before a purchase is finalized, which often leads to consumer dissatisfaction due to mismatched expectation of the received product. In response, retailers usually promise
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Technological cooperation or competition? optimal strategies of incumbent and entrant in ICT markets Omega (IF 6.9) Pub Date : 2024-01-12 Yifan Liu, Minqiang Li, Haiyang Feng, Nan Feng
This study examines the patterns of technological cooperation or technological competition between an incumbent firm and an entrant firm in Information and Communications Technology (ICT) markets. The incumbent firm in ICT markets often licenses its key technology to a new entrant, who is usually the rival to the incumbent and has the option to enter the market early through licensing in the technology
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Profit-driven weighted classifier with interpretable ability for customer churn prediction Omega (IF 6.9) Pub Date : 2024-01-05 Ping Jiang, Zhenkun Liu, Mohammad Zoynul Abedin, Jianzhou Wang, Wendong Yang, Qingli Dong
Customer churn prediction methods aim to identify customers with the highest probability of attrition, improve the effectiveness of customer retention campaigns, and maximize profits. However, previous studies have relied on a single classifier, leading to suboptimal predictive results. To address this issue, we propose a novel profit-driven weighted classifier that integrates a weighted strategy with
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Trade credit provision under uniform price regulation Omega (IF 6.9) Pub Date : 2023-12-29 Yonghui Chen, Yan Zeng, Mingyu Zheng, Qiao-Chu He
To encourage product market competition, uniform price regulation is imposed to forbid suppliers from price discrimination. This paper investigates the impact of price regulation on a supplier’s trade credit decision in a supply chain with two heterogeneous retailers. In the baseline model without price regulation, we show that it is optimal for the supplier to provide net term trade credit to both
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Free trial or no free trial: Optimal policy of electronic products with positive and negative network effects Omega (IF 6.9) Pub Date : 2023-12-28 Zhiyong Zhang, Hongke Zhao, Baofeng Huo, Ming He
The rapid development and widespread application of the new generation information technology has not only promoted innovation in traditional business models, but also has even created new business models and new industries. The free trial, as one of the new business models, has been utilized by major enterprises to advertise and promote their products in the expectation of receiving more attention
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A shared-input integer network DEA approach linking football teams’ wages and market values Omega (IF 6.9) Pub Date : 2023-12-21 Gabriel Villa, Sebastián Lozano
This paper proposes a new approach, based on an SBI, shared-input NDEA model, to assess the sport and value creation performance of football clubs that are playing in national and international competitions. The novel features of the proposed approach include the relationship between the different sub-processes that make the team transform their salaries into sporting results and these into market
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New product introductions with selection of unique and common features in monopoly markets Omega (IF 6.9) Pub Date : 2023-12-20 Burak Çelik, Justus Arne Schwarz, Barış Tan
Firms have to determine the right features and prices for their new products as they introduce new product generations to the market. We consider the problem of determining the features of a new product that a monopolist will introduce into a market that contains an existing product as well as setting the prices of the existing and the new products. The firm also decides on offering only the new product
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Stable streaming platforms: a cooperative game approach Omega (IF 6.9) Pub Date : 2023-12-19 Loe Schlicher, Bas Dietzenbacher, Marieke Musegaas
Streaming platforms such as Spotify are popular media services where content creators may offer their content. Because these platforms operate in a highly competitive market, content creators may leave the platform and join elsewhere. This paper studies conditions under which content creators have no incentives to leave the platform and thus stability can be preserved. We introduce a stylized model
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Consumer preference analysis: Diverse preference learning with online ratings Omega (IF 6.9) Pub Date : 2023-12-19 Peijia Ren, Xiaodan Liu, Wei-Guo Zhang
In the information age, there is a growing need to process and analyze the great number of online reviews to understand consumer preferences and product reputations. Instead of addressing all online reviews as a simple group decision-making problem in the existing research, we propose a new preference learning (PL) mechanism to extract preferences by analyzing the diversity of preferences across different
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National or third-party manufacturer? Sourcing strategy of a dominant platform: Signaling game's perspective Omega (IF 6.9) Pub Date : 2023-12-10 Yang Tong, Tiaojun Xiao
The dominant online platforms (e.g., Amazon and JD) in practice have adopted a strategy of introducing their own store brands as a means to engage in competition with national brands inside consumer markets. However, whether to source store brands from national or third-party manufacturers is still a dilemma for platforms. This paper investigates the online platform's optimal sourcing decision for
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Profit- and risk-driven credit scoring under parameter uncertainty: A multiobjective approach Omega (IF 6.9) Pub Date : 2023-12-13 Yong Xu, Gang Kou, Yi Peng, Kexing Ding, Daji Ergu, Fahd S. Alotaibi
Profit-driven artificial intelligence (AI) systems and profit-based performance measures are widely used in credit scoring. When assessing the performance of an AI system for credit scoring, previous research typically assumes that the cost and benefit parameters and their distributional information are available. In reality, however, these parameters and their distributions are often not precisely
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The introduction and market expansion effects of green products considering network externalities Omega (IF 6.9) Pub Date : 2023-12-09 Xiaoxi Liu
The growing global awareness regarding environmental concerns has prompted various industries to develop and launch green products. As a result of this, the strategic approach to introducing green products has emerged as a pivotal topic. This study explores the introduction strategy employed by a monopolist seeking to launch a green product. The green product not only matches the practical quality
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The price-elastic knapsack problem Omega (IF 6.9) Pub Date : 2023-12-09 Ricardo Fukasawa, Joe Naoum-Sawaya, Daniel Oliveira
This paper introduces the price-elastic knapsack problem (PEKP), an extension of the classic knapsack problem where instead of fixed item characteristics, the weight of each item and the profit from including an item in the knapsack are a function of a parameter, namely the price. PEKP is first formulated as a generic nonlinear optimization problem and three special cases are investigated. First, we
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Order assignment and two-stage integrated scheduling in fruit and vegetable supply chains Omega (IF 6.9) Pub Date : 2023-12-07 Gang Wang
Fruit and vegetable supply chains require tight integration due to freshness-keeping requirements during the post-harvest, production, and distribution stages. This paper addresses the scheduling problem of a two-stage flow shop in the fruit and vegetable supply chain involving procurement, production, distribution, and order assignment. The supply chain consists of contract growers, processors, and
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A Multi-objective integrated approach to address sustainability in a meat supply chain Omega (IF 6.9) Pub Date : 2023-12-06 Mehdi Najafi, Hossein Zolfagharinia
Many supply chains have taken action to consider the principles of sustainability in their business over the past two decades. However, addressing sustainability is still a challenge due to imposing some restrictions. This could be more challenging in a food supply chain because of consuming a large amount of natural resources and its connection to public health. Regarding this significance, this research
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Optimal decisions for hybrid manufacturing and remanufacturing with trade-in program and carbon tax Omega (IF 6.9) Pub Date : 2023-12-06 Sijie Li, Bin Zheng, Dongfeng Jia
With the practical implementation of carbon taxes and the adoption of trade-in programs, the decision environment for manufacturing and remanufacturing has become increasingly complicated. Taking the carbon tax and the trade-in program into consideration, this study develops manufacturing-remanufacturing models for two market scenarios (i.e., emerging market and mature market) when cores for remanufacturing
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Group efficiency and individual fairness tradeoff in making wise decisions Omega (IF 6.9) Pub Date : 2023-12-03 Ming Tang, Huchang Liao
In group decision making, the consensus model with minimum cost has been researched with the aim of improving group efficiency and saving resources. However, one limitation of the minimum cost consensus model is that the reach of consensus is usually at the expense of some group members. We consider two issues that we see as keys in group consensus: efficiency and fairness. We propose the price of
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Social media retailing in the creator economy Omega (IF 6.9) Pub Date : 2023-11-29 Yajun Cai, Yibin Wu, Weili Xue
Social media retailing (SMR) platform becomes popular nowadays. It is characterized by creative combination of content creation and product selling, which differs from traditional e-tailing (TE) with product selling alone. Motivated by the real-world practices like social media platforms “TikTok” and douyin.com, we endeavor to study if the SMR model performs better than the TE model in a monopoly setting
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Developing a national pandemic vaccination calendar under supply uncertainty Omega (IF 6.9) Pub Date : 2023-11-24 Sırma Karakaya, Burcu Balcik
During the COVID-19 pandemic, many countries faced challenges in developing and maintaining a reliable national pandemic vaccination calendar due to vaccine supply uncertainty. Deviating from the initial calendar due to vaccine delivery delays eroded public trust in health authorities and the government, hindering vaccination efforts. Motivated by these challenges, we address the problem of developing
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Selecting good redistricting plans from a large pool of available plans using the efficient frontier Omega (IF 6.9) Pub Date : 2023-11-23 Ram Gopalan, Lee Hachadoorian, Steven O. Kimbrough, Frederic H. Murphy
As part of a widespread frustration with partisan gerrymandering, many states have considered or implemented redistricting reforms – and others will eventually have to – that include a higher degree of citizen participation in proposing and evaluating redistricting plans. In some states without redistricting reform, public interest groups have created shadow commissions that encourage citizens to submit
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Analysis of email management strategies and their effects on email management performance Omega (IF 6.9) Pub Date : 2023-11-21 Peter Letmathe, Elisabeth Noll
Through digitization as well as globalization, communication in the workplace has changed massively, and email communication is nowadays one important—if not the most important—communication tool. Many people at work, especially managers, feel overwhelmed by the sheer volume and content of the emails that they have to handle. Moreover, many emails lead to a sense of being strained due to regular task-switching
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Optimization of train schedule with uncertain maintenance plans in high-speed railways: A stochastic programming approach Omega (IF 6.9) Pub Date : 2023-11-13 Hangyu Ji, Rui Wang, Chuntian Zhang, Jiateng Yin, Lin Ma, Lixing Yang
In high-speed railways, unexpected disturbances on maintenance activities may cause serious delays of the scheduled trains and greatly affect the service quality for traveling passengers. In contrast to most existing studies that focused on deterministic maintenance activities, this paper develops a two-stage stochastic programming approach to address the optimization of train schedules under uncertain
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Who benefits from postponement in multi-period supply channel optimization? Omega (IF 6.9) Pub Date : 2023-11-10 Reza Azad Gholami, Leif Kristoffer Sandal, Jan Ubøe
Duopolistic price-setting supply channels competing in a bilevel framework have been extensively studied in single-period (static) settings. However, such supply channels typically face uncertain and time-varying demand; and thus require a dynamic analysis. Dynamic channel optimization while addressing uncertain demand has received limited attention due to the highly nested structure of the ensuing
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Appointment scheduling in surgery pre-admission testing clinics Omega (IF 6.9) Pub Date : 2023-11-07 Saligrama Agnihothri, Paola Cappanera, Maddalena Nonato, Filippo Visintin
Pre-admission testing clinics are care units serving outpatients prior to surgical operation and performing procedure-specific tests to prepare them. Patients may need multiple tests, each performed by a specialized operator and delivered in any order. Exam rooms act as renewable resources: rooms are limited, tests are administered to patients inside the rooms, individually, and patients occupy the
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Online acceptance probability approximation in peer-to-peer transportation Omega (IF 6.9) Pub Date : 2023-10-30 Rosemonde Ausseil, Marlin W. Ulmer, Jennifer A. Pazour
Crowdsourced transportation by independent suppliers (or drivers) is central to urban delivery and mobility platforms. While utilizing crowdsourced resources has several advantages, it comes with the challenge that suppliers are not bound to assignments made by the platforms. In practice, suppliers often decline offered service requests, e.g., due to the required travel detour, the expected tip, or
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Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times Omega (IF 6.9) Pub Date : 2023-11-04 Xuan He, Quan-Ke Pan, Liang Gao, Janis S. Neufeld, Jatinder N.D. Gupta
Distributed flowshop group scheduling problem (DFGSP) is commonly seen in modern industry. However, research works on DFGSP with total flow time criterion are rarely reported. The DFGSP consists of three coupled sub-problems, i.e., factory assignment for each group, group sequence in each factory, and job sequence within each group. A historical information-based iterated greedy algorithm (HIG) is
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Comparative risk aversion vs. threshold choice in the Omega ratio Omega (IF 6.9) Pub Date : 2023-10-29 Anne G. Balter, Ki Wai Chau, Nikolaus Schweizer
We study conditions under which the threshold parameter in the Omega ratio represents risk aversion in the sense of monotonicity of risk premia. To this end, we derive asymptotic expansions for risk premia associated with taking a small additional risk on top of a background risk. These risk premia have the expected monotonicity behavior if, roughly speaking, the variance of the additional risk decreases
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Analysis of global brands’ green procurement strategy: Co-opetitive local sourcing vs. overseas sourcing under delivery disruption Omega (IF 6.9) Pub Date : 2023-10-29 Baozhuang Niu, Fengfeng Xie, Lei Chen
Recently, black swan events, such as the Covid-19 pandemic and the Russia-Ukraine war, have caused disruptions for the local brand with overseas procurement (BOP) who traditionally purchase remanufactured components globally. This induces the BOP to find a local alternative supplier, although the remanufactured components without supply disruption can be of high price, and the local supplier has a