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Manual and robotic storage and picking systems: a literature review Infor (IF 1.3) Pub Date : 2024-04-10 Allyson Silva, Leandro C. Coelho, Maryam Darvish, Jacques Renaud
The rising of e-commerce demands an increase in the performance of warehousing systems, which are being redesigned to deal with a mass volume of demands to be fulfilled as quickly as possible. The ...
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Measuring the COVID-19 treatment efficiency in OECD countries: a multiplicative network DEA approach Infor (IF 1.3) Pub Date : 2024-04-08 Yu Yu, Jiaqi Liao, Daipeng Ma, Weiwei Zhu
The outbreak and subsequent COVID-19 pandemic became an urgent public hygiene crisis and concern for international society. The significance of evaluating a healthcare system’s performance when dea...
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Reverse supply chain decisions with online and offline dual recycling channels considering consumer fairness concerns and channel preference Infor (IF 1.3) Pub Date : 2024-04-01 Xiaogang Cao, Bowei Cao, Hui Wen, Kai Huang
Online recycling is becoming more prevalent as a result of the quick development of innovative technologies to enhance the recycling system. Based on consumer fairness concerns and channel preferen...
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Editorial: Special issue on operations research and machine learning Infor (IF 1.3) Pub Date : 2024-03-28 Hadi A. Khorshidi, Marzieh Soltanolkottabi, Richard Allmendinger, Uwe Aickelin
Published in INFOR: Information Systems and Operational Research (Ahead of Print, 2024)
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Production-and-order strategy with demand information updating and uncertain spot price Infor (IF 1.3) Pub Date : 2024-03-20 Jiawu Peng, Honglin Yang, Hong Wan
We study production-and-order strategy in a two-echelon supply chain consisting of a single manufacturer and a single retailer in which both market demand and spot price are uncertain. The retailer...
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Enhancing logistics performance measurement: an effectiveness-based hierarchical data envelopment analysis approach Infor (IF 1.3) Pub Date : 2024-03-13 Kok Fong See, Yongli Guo, Ming-Miin Yu
The logistics performance index (LPI) is a comprehensive and comparable composite index developed by the World Bank to assess a country’s logistics and trade facilitation environment. However, the ...
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Real-time production scheduling using a deep reinforcement learning-based multi-agent approach Infor (IF 1.3) Pub Date : 2024-03-03 Sharareh Taghipour, Hamed A. Namoura, Mani Sharifi, Mageed Ghaleb
In the real-time scheduling (RTS) research field, it has been shown that employing multiple dispatching rules (MDRs) for the components in a flexible manufacturing system will improve production pe...
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An approach to plan infrastructural investments to facilitate domestic trade Infor (IF 1.3) Pub Date : 2024-02-12 Osman Alp, Meraj Ajam
The volume of trade between two regions is shaped by the cost of trade, which is a function of infrastructural and political barriers. Governments can invest in the upgrade of their country’s logis...
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The recommender problem with convex hulls Infor (IF 1.3) Pub Date : 2024-02-05 Marie-Laure Bougnol, José H. Dulà
We introduce a novel approach for the user-based, collaborative filtering, recommender problem for selecting neighbors and weighting their ratings to make a prediction. The proposed approach is bas...
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Cost of effort in benchmarking: exploration and applications Infor (IF 1.3) Pub Date : 2024-02-01 Xiangyang Tao, Qingxian An, Yao Chen, Peter Bogetoft
The literature on incentives suggests that the cost of effort is a key determinant of production, as an agent’s utility is dependent on both consumption and the cost of effort. However, the benchma...
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Aggregation of meta-technology ratio in DEA framework using the evidential reasoning approach Infor (IF 1.3) Pub Date : 2024-02-01 Dawei Wang, Xiaoqi Zhang, Sheng Ang, Feng Yang
The metafrontier data envelopment analysis (DEA) model is a popular evaluation technique when different decision-making units (DMUs) may exhibit production technology heterogeneity. In this framewo...
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Is blockchain technology desirable? When considering power structures and consumer preference for blockchain Infor (IF 1.3) Pub Date : 2024-02-01 Zhongmiao Sun, Qi Xu, Jinrong Liu
Blockchain technology is very useful for combating counterfeits and verifying the authenticity of products for consumers. This paper studies blockchain adoption in a two-level supply chain consisti...
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Intra-provincial benchmark analysis of COVID-19 in Canada Infor (IF 1.3) Pub Date : 2024-01-11 Mehmet A. Begen, Fredrik Ødegaard, Jafar Sadeghi
The COVID-19 pandemic posed unheralded challenges to people, business, government at all levels (federal, provincial, regional), and society at large. In addition to the direct consequences of taki...
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Home health care facility location problem under demand uncertainty Infor (IF 1.3) Pub Date : 2024-01-02 Pooya Pourrezaie-Khaligh, Amir Ardestani-Jaafari, B. M. Tosarkani
The demand for home health care services is rapidly increasing due to the growing number of older people. The uncertainty surrounding this demand affects the network design processes and the perfor...
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Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study Infor (IF 1.3) Pub Date : 2023-11-01 Maryam Akbari-Moghaddam, Na Li, Douglas G. Down, Donald M. Arnold, Jeannie Callum, Philippe Bégin, Nancy M. Heddle
Epidemics are a serious public health threat, and the resources for mitigating their effects are typically limited. Decision-makers face challenges in forecasting the supply and demand for these re...
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Cloud model-based best-worst method for group decision making under uncertainty Infor (IF 1.3) Pub Date : 2023-10-12 Behzad Minaei, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Arash Geramian
This study aims to enhance computational and analytical aspects of multi-criteria group decision-making (MCGDM) under uncertainty. For this, we use the best-worst method (BWM) and cloud models to d...
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Two-stage hybrid model for supplier selection and order allocation considering cyber risk Infor (IF 1.3) Pub Date : 2023-09-08 Yueran Zhang, Zhanwen Niu, Yaqing Zuo, Chaochao Liu
In the context of collaborative manufacturing, cyber risk caused by cyber attacks may lead to severe supply chain disruption. Currently, supplier selection and order allocation is regarded as effec...
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Markov chain Monte Carlo approach to the analysis of response patterns in data collection process Infor (IF 1.3) Pub Date : 2023-08-14 Young H. Chun, Edward F. Watson
Survey research, such as telephone, mail, or online questionnaires, is one of the most widely used tools for collecting sample data. We are often interested in the total number of replies that woul...
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Mathematical formulations for multi-period network design with modular capacity adjustments Infor (IF 1.3) Pub Date : 2023-07-26 Warley Almeida Silva, Sanjay Dominik Jena, Karan Jeswani
Network design problems are at the heart of several applications in domains such as transportation, telecommunication, energy and natural resources. This paper proposes a new multi-period network d...
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A reinforcement learning based dynamic room pricing model for hotel industry Infor (IF 1.3) Pub Date : 2023-07-19 Gamze Tuncay, Kıymet Kaya, Yaren Yılmaz, Yusuf Yaslan, Şule Gündüz Öğüdücü
Abstract In this study, we propose a novel model to design dynamic hotel room pricing strategies that consider the specific requirements associated with the tourism sector. Reinforcement learning (RL) is used to formulate the problem as a Markov decision process (MDP) and Q-learning is used to solve this problem with a new reward function for hotel room pricing which considers both the profit and demand
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The impact of time aggregation and travel time models on time-dependent routing solutions Infor (IF 1.3) Pub Date : 2023-07-19 Rabie Jaballah, Rodrigo Ramalho, Jacques Renaud, Leandro C Coelho
Traffic and congestion have a big impact on the performance of transportation systems. Travel time models are required to calculate trip durations and arrival times when traffic information is avai...
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An exact approach for finding bicriteria maximally SRLG-disjoint/shortest path pairs in telecommunication networks Infor (IF 1.3) Pub Date : 2023-07-11 José Craveirinha, Marta Pascoal, João Clímaco
Abstract The paper addresses a bicriteria optimisation problem in telecommunication networks that aims at finding Pareto efficient pairs of paths between two given nodes, seeking to minimise the number of SRLGs (Shared Risk Link Groups) common to both paths and the path pair cost. This problem is of particular importance in telecommunication routing design, namely concerning resilient routing models
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Closed-form (R,S) inventory policies for perishable inventory systems with supply chain disruptions Infor (IF 1.3) Pub Date : 2023-07-03 Lauren L. Czerniak, Mark S. Daskin, Mariel S. Lavieri, Burgunda V. Sweet, Jennifer Leja, Matthew A. Tupps, Karl Renius
Abstract Hospital pharmacy managers make inventory decisions for thousands of different perishable drugs. Commonly, these managers do not have the resources to implement advanced mathematical models. Closed-form solutions are attractive because they provide the inventory policy quickly and are easy to implement. However, when deriving these solutions, one must consider that pharmaceutical supply chains
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Notice of duplicate publication: Analyse De La Signifiance De Diverses Procédures D’Agrégation Multicritere Infor (IF 1.3) Pub Date : 2023-06-07
Published in INFOR: Information Systems and Operational Research (Vol. 62, No. 1, 2024)
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Centralized production planning using reference operating points: application to fossil fuel power plants Infor (IF 1.3) Pub Date : 2023-05-12 Sebastián Lozano, Ignacio Contreras
Abstract This article proposes a centralized Data Envelopment Analysis (DEA) approach for determining efficient operation points for the different plants of an organization given the desired aggregate production targets. The proposed approach minimizes the total input consumption and undesirable output generation. The concept of a reference operating point for each plant is introduced and used to scalarize
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On the value of shipment consolidation and machine learning techniques for the optimal design of a multimodal logistics network Infor (IF 1.3) Pub Date : 2023-04-26 Ibrahim O. Oguntola, M. Ali Ülkü, Ahmed Saif, Alexander Engau
We study a multimodal logistics network for a multi-echelon supply chain (SC) with multiple products, considering economic and environmental sustainability and shipment consolidation (ShC). The SC ...
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Efficiency evaluation for decision making units with fixed-sum outputs using data envelopment analysis and stochastic multicriteria acceptability analysis Infor (IF 1.3) Pub Date : 2023-04-20 Xiaoqi Zhang, Qiong Xia, Fangqing Wei, Sheng Ang
Abstract The generalized equilibrium efficient frontier data envelopment analysis (GEEFDEA) approach, an extension of the DEA method, has been widely used to solve the problem of evaluating decision making units (DMUs) producing fixed-sum outputs. It constructs a common equilibrium efficient frontier through a minimum reduction strategy for fixed-sum outputs and uses this frontier as a benchmark to
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Whether and how manufacturers encroach the market Infor (IF 1.3) Pub Date : 2023-02-25 Yue Qi, Taofeng Ye
Abstract Consider a manufacturer who has produced and sold a single product through a retail channel and now considers whether to open a direct channel to sell a product directly to customers. Upon deciding to encroach the market, the manufacturer needs to determine whether to offer the same product as available in the retail market (i.e. homogenized encroachment) or to offer a variant that has a better
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Information-sharing strategy and manufacturer encroachment under advertising investment in gray markets Infor (IF 1.3) Pub Date : 2023-02-13 Lu Xiao, Song-Ling Zhang, Jian-Xin Chen, Kwai-Sang Chin
Abstract This study investigates how the manufacturer’s encroachment strategy and the retailer’s information-sharing strategy interact in gray markets under advertising investment. Different from the traditional view which holds that the retailer should retain private information to maintain an information advantage, we find that the retailer can strategically use private information to induce the
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The repeated p-dispersion problem Infor (IF 1.3) Pub Date : 2023-02-01 Jack Brimberg, Pawel Kalczynski, Zvi Drezner
Abstract The grey pattern problem is to select a pattern of p points in a square that is replicated in adjacent squares so that they are spread out as uniformly as possible. The goal is to cover a large area with many squares of the same pattern of p points. In the original formulation a special objective function is designed. In this paper we suggest the criterion of maximizing the minimum distance
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The trade-off between costs and carbon emissions from economic lot-sizing decisions Infor (IF 1.3) Pub Date : 2023-01-31 Marcel Turkensteen, Wilco van den Heuvel
Abstract Logistics decisions can have a significant impact on carbon emissions, a driver of global warming. We consider emissions reductions from better utilization of a given fleet of vehicles. We study an Economic Lot-Sizing setting in which a decision-maker determines the amount to be shipped in each period, and in which demand can fluctuate. Our paper assesses the trade-off between costs and carbon
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Integrated risk averse and possibilistic humanitarian logistic model with social costs and material convergence Infor (IF 1.3) Pub Date : 2023-01-24 Luis Yáñez Sandivari, Cristián E. Cortés, Pablo A. Rey
Abstract A stepwise development is proposed for the construction of a model that comprehensively solves the disaster planning and response problem. In addition to traditional logistics costs, the suggested approach incorporates response time sensitivity, social costs related to post-disaster deprivation, the impact of material convergence, and measurable and epistemic uncertainty. Starting from a stochastic
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An Integrated machine learning and DEA-predefined performance outcome prediction framework with high-dimensional imbalanced data Infor (IF 1.3) Pub Date : 2023-01-23 Yu Shi, Wei Zhao
In performance evaluation, emerging studies utilize machine learning to increase the interpretability and robustness of data envelopment analysis (DEA), a non-parametric tool for assessing the rela...
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Stackelberg game model of green tourism supply chain with governmental subsidy Infor (IF 1.3) Pub Date : 2023-01-10 Ruiyou Zhang, Zhiyou Li
Abstract Green tourism has become a hot issue in both academic fields and companies recently. A green tourism supply chain composed of a government, a green scenic area and a travel agency is addressed using the game theory. The scenic area in the supply chain sells tickets to tourists through the travel agency, and makes extra investment on environmental protection to improve its green degree. The
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Optimal channel choices and online refund policies in a low-carbon tourism supply chain considering carbon reduction level Infor (IF 1.3) Pub Date : 2022-11-28 Yuqiu Xu, Qianqian Cao, Kaiying Cao, Jia Wang
Abstract With the rapid development of low-carbon tourism and online travel agencies (OTAs), whether to enter OTAs has been a problem faced by tour operators in the context of low-carbon tourism. Besides, if tour operators enter OTAs, whether to provide online refund policies is also a challenge for them. To research whether tour operators should enter OTAs and provide online refund policies, three
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Bernard Gendron (1966–2022): Un ami et un collègue Infor (IF 1.3) Pub Date : 2022-11-24 Teodor Gabriel Crainic, Antonio Frangioni, Michel Gendreau
Published in INFOR: Information Systems and Operational Research (Vol. 60, No. 4, 2022)
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Bernard Gendron (1966–2022): friend and colleague Infor (IF 1.3) Pub Date : 2022-11-24 Teodor Gabriel Crainic, Antonio Frangioni, Michel Gendreau
Published in INFOR: Information Systems and Operational Research (Vol. 60, No. 4, 2022)
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Minimizing user inconvenience and operational costs in a dial-a-flight problem for flying safaris Infor (IF 1.3) Pub Date : 2022-10-07 Jean-François Cordeau, Manuel Iori, Nilson F. M. Mendes, Davide Nelli, Riccardo Tedeschi
Abstract We study a Dial-a-Flight Problem faced by one of the major safari airline companies in Tanzania. Given a set of daily passenger requests and a fleet of heterogeneous airplanes, the problem requires to determine the best set of itineraries to transport the passengers from their origins to the requested destinations within specific time windows, while satisfying a number of operational constraints
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Optimizing the number of deployed yard cranes in a container terminal Infor (IF 1.3) Pub Date : 2022-08-08 Amir Gharehgozli, Nima Zaerpour, Kunpeng Li
Abstract Container terminals play an essential role in the current global supply chain, and their efficiency influences businesses throughout the supply chain. One of the most critical decisions in the operation of container terminals is the number of deployed rubber tyred gantry (RTG) cranes to handle the containers. The RTG crane is the main equipment that handles containers in the stacking area
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Efficiency evaluation of a two-stage production process with feedback: an improved DEA model Infor (IF 1.3) Pub Date : 2022-07-28 Dawei Wang, Fangqing Wei, Feng Yang
Abstract This study explores the additive decomposition method in which the overall efficiency is a weighted average of the two stage efficiencies in a feedback system. In the additive decomposition method, the weight is often expressed as the proportion of total resources devoted to each stage, reflecting the relative importance of the stage. When this approach of determining weights is used in the
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Bilateral information sharing in a supply chain with manufacturer competition Infor (IF 1.3) Pub Date : 2022-07-06 Huimin Zhang, Zhenkai Lou, Fujun Hou
Abstract Information sharing has been regarded as a way to coordinate or to optimize the whole supply chain. Prior literature focuses on unilateral information sharing in a supply chain with single or substitutable products. This paper explores bilateral demand information sharing in a supply chain, in which two competing manufacturers provide substitutable products to a common retailer. All supply
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Fulfillment lead time and capacity decisions under demand chasing Infor (IF 1.3) Pub Date : 2022-06-13 Chun-Miin (Jimmy) Chen
Abstract For fashion products that have rather uncertain consumer demands, retailers can use the demand-chasing tactic to mitigate the uncertainty. Specifically, the demand-chasing retailer can place small, initial orders to identify which products are popular and then press suppliers to deliver expedited reorders. Moreover, the retailer can reduce the required lead time, and the supplier can either
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Goal programming approaches for coordinating flock collection in the poultry industry Infor (IF 1.3) Pub Date : 2022-05-28 Kenneth Dolson, Hassan Sarhadi, Ahmed Saif
Abstract We present deterministic and stochastic goal programming models for coordinating of flock collection activities in a poultry processing company. The aim is to develop weekly schedules that balance three goals: ensuring a steady workload in the processing facility, reducing processing defects due to weight differences, and fulfilling production targets of farmers, while satisfying logistical
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On the effect of using sensors and dynamic forecasts in inventory-routing problems Infor (IF 1.3) Pub Date : 2022-05-17 Maximiliano Cubillos, Remy Spliet, Sanne Wøhlk
Abstract In this paper, we study an inventory-routing problem with stochastic demand, in which knowledge of the demands of customers can be updated by the use of sensor information, and used to plan delivery decisions in a given planning period. We consider the case in which a limited number of sensors can be placed, and investigate what simple rules can best be applied to decide on their allocation
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A review of bricks-and-clicks dual-channels literature: trends and opportunities Infor (IF 1.3) Pub Date : 2022-04-26 Armagan Ozbilge, Elkafi Hassini, Mahmut Parlar
Abstract The proliferation of e-commerce has changed the retail market landscape significantly in most industries. Due to fiercer competition, many bricks-and-mortar retailers established an online channel and have become bricks-and-clicks. On the other hand, some e-tailers are adding a conventional channel to their portfolio by launching physical stores or forming a partnership with traditional retailers
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Approximating the Pareto frontier for a challenging real-world bi-objective covering problem Infor (IF 1.3) Pub Date : 2022-04-08 Nils-Hassan Quttineh, Uledi Ngulo, Torbjörn Larsson
Abstract We study a bi-objective covering problem stemming from a real-world application concerning the design of camera surveillance systems for large-scale outdoor areas. It is in this application prohibitively costly to surveil the entire area, and therefore necessary to be able to present a decision-maker with trade-offs between total cost and the portion of the area that is surveilled. The problem
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High-priority expected waiting times in the delayed accumulating priority queue with applications to health care KPIs Infor (IF 1.3) Pub Date : 2022-03-28 Blair Bilodeau, David A. Stanford
Abstract We provide the first analytical expressions for the expected waiting time of high-priority customers in the delayed APQ by exploiting a classical conservation law for work-conserving queues. Additionally, we describe an algorithm to compute the expected waiting times of both low-priority and high-priority customers, which requires only the truncation of sums that converge quickly in our experiments
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An exact algorithm for large knapsack sharing problems Infor (IF 1.3) Pub Date : 2022-03-21 Yacine Laalaoui, Hedi Mhalla
Abstract The Knapsack Sharing Problem (KSP) is the problem of assigning a subset of n items from m disjoint classes to a shared knapsack such that the total profit of the smallest class is maximized subject to the knapsack capacity constraint. The KSP problem generalizes the 0/1 Knapsack Problem (KP), and it has wide applications in finance and resource allocation domains. In this article, we describe
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The impact of online reviews on pricing strategy and coordination in a two-period two-echelon supply chain Infor (IF 1.3) Pub Date : 2022-03-21 Haijiao Li, Kuan Yang, Guoqing Zhang
Abstract Online reviews have attracted much attention from firms as they play a significant role in consumers' purchase decisions. While prior investigations have explored the impact of online reviews on firms' operational decisions, little is known about how review volume and valence affect different players' operational decisions in a channel structure. We develop game-theoretic models to examine
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Measuring the dynamic efficiency of socially responsible investment funds: evidence from dynamic network DEA with diversification Infor (IF 1.3) Pub Date : 2022-03-17 Helu Xiao, Xin Liu, Tiantian Ren, Zhongbao Zhou
Abstract This article proposes some alternative multi-period diversification-consistent data envelopment analysis (DEA) models to assess the dynamic performance of socially responsible investment (SRI) funds accounting for both finance and SRI criteria. First, three portfolio possibility sets (PPSs) are constructed based on some alternative dynamic input-output processes of SRI funds. Second, three
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A strengthened solution to option manipulation Infor (IF 1.3) Pub Date : 2022-02-28 Bilal Aslam, Changyong Zhang
Abstract Thanks to the reduced price and less exposition to sudden crashes or price hikes, the Asian option is among the most favorable hedging instruments that are hard to be manipulated, in both the commodity market and executive compensation plan. Since the creation of the option, the main focus has been more on how to price it accurately while much less on how to explore deeper the benefits that
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Multi-period two-stage DEA model: measuring performance of integrated production and service systems in Chinese cable TV industry Infor (IF 1.3) Pub Date : 2022-02-28 Xianmei Wang, Hanhui Hu, Yuqi Wei
Abstract The performance of the provincial cable television (CATV) industry in China has become one of the main points of interest as competition in this market intensifies and policy making gradually moves from the central to the provincial level with the introduction of Internet Protocol Television (IPTV) and Over the Top (OTT). The CATV industry has two different vertically integrated activities:
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Pricing and matching for on-demand platform considering customer queuing and order cancellation Infor (IF 1.3) Pub Date : 2022-02-15 Zhongmiao Sun, Qi Xu, Guoqing Zhang, Jinrong Liu
Abstract Queuing on an on-demand platform may make some customers disgust and give up using it, and the customers who have confirmed the orders may also cancel the orders due to some uncertain factors, which causes certain opportunity loss to the platform. This article considers both customer queuing and order cancellation (COC) behaviour, and studies optimal pricing and matching of the profit-maximizing
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Dose-based constraint generation for large-scale IMRT optimization Infor (IF 1.3) Pub Date : 2021-12-06 Lucy Fountain, Kourosh Khedriliraviasl, Sina Mahmoudzadeh, Houra Mahmoudzadeh
Abstract Intensity-modulated radiation therapy (IMRT) is a commonly-used method for treating cancer. To develop a treatment plan, an optimization problem is formulated to find the optimal radiation intensities to ensure that the cancerous region receives the required prescribed radiation dose while limiting the excess radiation to the surrounding healthy organs. Due to the granularity of the discretization
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Mathematical modelling for tourism supply chain considering sustainable effort Infor (IF 1.3) Pub Date : 2021-11-23 Sarat Kumar Jena, Chinmaya Behera
Abstract Tourism Supply chain (TSC) refers to techniques aimed at facilitating the sustainable development of tourist destinations through purchasing policies and practices. Sustainability is of particular importance to tour operators because their products are dependent on local operators, including accommodations, transportation, and activities. When a tour operator uses a local operator as a channel
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Influence of strategic inventory on the equilibrium of two competing supply chains Infor (IF 1.3) Pub Date : 2021-11-21 Subrata Saha, Izabela Ewa Nielsen, S. P. Sarmah
Abstract In this article, the influence of using strategic inventory and forming collusion between upstream manufacturers and downstream retailers is studied when two competing supply chains offer substitutable products in a common market through exclusive retailers. The optimal pricing decisions are explored in five different scenarios. It is found that with a specific limit of holding cost, the retailer
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Inter-organizational purchasing contracts: the effects of multi-agents in a supplying firm Infor (IF 1.3) Pub Date : 2021-10-28 Jae-Young Oh, Ji-Hung (Ryan) Choi
Abstract We investigate how supplier performance is influenced by the behaviors (self-interested behaviors and gatekeeping actions) of a supplier’s salesperson and engineer, and how such behaviors affect a performance-based contract design to ensure the desired performance from the supplier. This article develops a incentive contract that proves how such behaviors affect supplier performance, elucidating
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Identifying an effective last-mile customer delivery option with an integrated eco-friendly inventory model Infor (IF 1.3) Pub Date : 2021-12-22 Ivan Darma Wangsa, Hui Ming Wee, Yu Lin Hsiao, Novrianty Rizky
Abstract In this study, we have developed an integrated inventory model for the last-mile delivery where the distributer supplies goods to his customers. Two services based on the type of deliveries are investigated, namely: 1) motorcycle delivery service, and 2) drone delivery service. The objective of this study is to identify an effective last-mile delivery option, considering both cost and eco-friendly
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On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies Infor (IF 1.3) Pub Date : 2021-12-19 Juyoung Wang, Mucahit Cevik, Merve Bodur
Abstract Multistage stochastic programming provides a modeling framework for sequential decision-making problems that involve uncertainty. One typically overlooked aspect of this methodology is how uncertainty is incorporated into modeling. Traditionally, statistical forecasting techniques with simple forms, e.g. (first-order) autoregressive time-series models, are used to extract scenarios to be added
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Optimal pricing strategies with remanufacturing technological innovation under different power structures Infor (IF 1.3) Pub Date : 2021-11-29 Renbang Shan, Li Luo, Bowen Xiang
Abstract With the development and promotion of remanufacturing, remanufactured products have gradually become popular. And the production of remanufactured products cannot be separated from the support of remanufacturing technology. However, it is not clear whether the implementation of remanufacturing technological innovation can benefit enterprises. Moreover, the evidence from industry practice shows