Article
Computer Science, Interdisciplinary Applications
Xinghao Yan
Summary: This study examines the role of order quantity in supply chains in the presence of demand and/or supply uncertainty. It is found that order quantity serves as a tool for the buyer to manage potential supply shortage or surplus caused by uncertainties. The decision makers utilize order quantity differently to hedge against various uncertainties. The analysis also reveals the impact of order quantity on coordinating contract design and identifies the challenges in designing quantity-based coordinating contracts under supply uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Qi Lin, Qiuhong Zhao, Benjamin Lev
Summary: This paper examines production and procurement decisions in influenza vaccine supply chains, highlighting the inefficiency that exists in both centralized and decentralized systems. A procurement strategy is proposed to improve coordination in the supply chain, with the aim of enhancing efficiency.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Energy & Fuels
Martin Lindner, Benedikt Grosch, Ghada Elserafi, Bastian Dietrich, Matthias Weigold
Summary: This paper examines the practicality of a methodical approach for energy-flexible and energy-optimal operation in the field of metal-cutting production using a grinding machine and its central cooling-supply system as an example. An energy-flexibility data model is built for each subsystem, describing energy flexibility potentials, and extended to enable combined energy cost-optimal production planning. Parameter-estimation methods are used to model the cold flows between the subsystems, eliminating the need for heat meters. The approach successfully reduces overall energy costs by 6.6 percent and energy costs per workpiece produced by 1.9 percent, validating the feasibility of energy-flexible cost-optimal and sensor-reduced production planning.
Article
Computer Science, Artificial Intelligence
Mengjun Meng, Qiuyun Lin, Yingming Wang
Summary: Taking China as an example, this paper constructs an evaluation system and risk identification model based on questionnaire survey and principal component analysis. It explores the relationship between risk indicators and demand uncertainty in the supply chain using Bayesian network and fuzzy set theory, and proposes an incentive mechanism model based on information sharing to reduce risk.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Yan Shi, Fulin Wang
Summary: This paper focuses on the impact of yield and demand uncertainties on the profit and performance of supply chain members in the agricultural industry. It proposes a revised revenue-sharing contract to achieve supply chain coordination.
Article
Computer Science, Artificial Intelligence
Yanfen Li, Jingyi Yang, Yuancong Wang
Summary: In this study, a fuzzy integrated optimization model is established based on supply and demand uncertainty, and a genetic algorithm is utilized to solve the model. The effectiveness of the model and algorithm is proven through numerical examples.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Engineering, Industrial
Mahdi Fathi, Marzieh Khakifirooz, Ali Diabat, Huangen Chen
Summary: This paper presents a location-inventory optimization model for supply chain configuration, and develops a two-phase approach to simultaneously determine the optimal locations for DCs and their inventory policies, using queuing theory in the first phase and mathematical programming in the second phase.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Management
Bouchra Abdelilah, Akram El Korchi, Mohammed Amine Balambo
Summary: This study investigates the antecedents of supply chain agility and its impact on firm's operational performance. The findings show that companies with agile supply chains perform better than those focused only on lean or supply chain integration practices. The results indicate that supply chain agility fully mediates the relationships between lean/supply chain integration and firm's operational performance. This study contributes to the understanding of the synergies between lean manufacturing, supply chain integration, supply chain agility, and firm's operational performance.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Engineering, Environmental
Hsin Rau, Syarif Daniel Budiman, Charlotte N. Monteiro
Summary: In recent years, stakeholders have focused on developing a reverse supply chain system to tackle resource depletion and waste accumulation issues, particularly in the case of e-waste. Incorporating postponement concepts into the integrated RSC network can increase flexibility, leading to better economic performance even under high demand uncertainty and strict environmental regulations. The study demonstrates the superiority of speculation-postponement strategies in improving RSC sustainability and can be applied to various products.
Article
Management
Zhan Qu, Horst Raff
Summary: Decentralized supply chains using linear wholesale prices may lower upstream production and downstream sales volatility, reducing the bullwhip effect. However, this can lead to decreased overall supply chain profit as downstream firms may suffer losses from the price effect.
MANAGEMENT SCIENCE
(2021)
Review
Computer Science, Interdisciplinary Applications
Rafael D. Tordecilla, Angel A. Juan, Jairo R. Montoya-Torres, Carlos L. Quintero-Araujo, Javier Panadero
Summary: This paper reviews existing literature on the use of simulation optimization methods in designing resilient supply chain networks, classifying works by methodology and approaches to handling uncertainty and risk. It also identifies research opportunities, such as involving multiple criteria and utilizing hybrid approaches combining metaheuristic algorithms, simulation, and machine learning methods to address uncertainty and dynamic conditions.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Computer Science, Interdisciplinary Applications
Shengjie Chen, Yanju Chen
Summary: This study focuses on the design of resilient supply chain networks in the event of supply chain disruption. A two-stage distributionally robust optimization model with ambiguous chance constraint is proposed to address the problem under demand uncertainty and disruption scenario. The model is applied to a real case study in Wuhan, China, and provides decision support for planning a resilient supply chain network. The findings from numerical experiments and sensitivity analysis offer valuable insights for industry decision-makers.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Management
Xianpei Hong, Yimeng He, Pin Zhou, Jiguang Chen
Summary: Contract farming is crucial for protecting small farmers from market volatility and has experienced rapid growth. However, previous studies have overlooked the sharing of demand information by for-profit companies engaged in contract farming.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Syarif Daniel Budiman, Hsin Rau
Summary: Modern business traits have expanded companies to a global scale and complex supply chain operations to meet global customer demands. Companies need to predict volatile global demand and adjust supply chain operations to various regional risks, leading to a proposed model integrating postponement and modularization concepts for supply chain network design.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Chemical
Oluwadare Badejo, Marianthi Ierapetritou
Summary: In this study, a two-stage stochastic programming model is proposed to address a four-echelon supply chain problem with disruptions at nodes, transportation modes, and operational uncertainties in uncertain demands. The first stage decisions include supplier choice, capacity levels, inventory levels, transportation mode selection, and shipment decisions for a certain period. The second stage anticipates the cost of meeting future demands based on the first stage decision. Comparison with a multi-period deterministic model shows that the stochastic model provides a better first stage decision against future demand. This study demonstrates the managerial viability of the proposed model in decision making for supply chain networks considering disruptions and operational uncertainties.
Article
Engineering, Chemical
George N. Nikolaidis, Eustathios S. Kikkinides, Michael C. Georgiadis
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2017)
Article
Engineering, Chemical
Nikolaos E. Koltsaklis, Myronas Giannakakis, Michael C. Georgiadis
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2018)
Article
Engineering, Chemical
George N. Nikolaidis, Eustathios S. Kikkinides, Michael C. Georgiadis
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2018)
Article
Engineering, Chemical
Chrysovalantou Ziogou, Spyros Voutetakis, Michael C. Georgiadis, Simira Papadopoulou
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2018)
Editorial Material
Engineering, Chemical
Michael C. Georgiadis, Pei Liu, Georgios M. Kopanos
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2018)
Article
Computer Science, Interdisciplinary Applications
Nikolaos E. Koltsaklis, Ioannis Gioulekas, Michael C. Georgiadis
COMPUTERS & CHEMICAL ENGINEERING
(2018)
Article
Engineering, Chemical
Apostolos P. Elekidis, Nikolaos E. Koltsaklis, Michael C. Georgiadis
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2018)
Meeting Abstract
Hematology
Ana Luz Quiroga-Campano, Louise Enfield, Matthew Foster, Margaritis Kostoglou, Michael Georgiadis, Athanasios Mantalaris, Nicki Panoskaltsis
Proceedings Paper
Engineering, Environmental
Apostolos P. Elekidis, Nikolaos E. Koltsaklis, Michael C. Georgiadis
28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING
(2018)
Proceedings Paper
Engineering, Environmental
Georgios P. Georgiadis, Chrysovalantou Ziogou, Georgios Kopanos, Manuel Garcia, Daniel Cabo, Miguel Lopez, Michael C. Georgiadis
28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING
(2018)
Meeting Abstract
Hematology
Ana Luz Quiroga-Campano, Athanasios Mantalaris, Margaritis Kostoglou, Michael Georgiadis, Nicki Panoskaltsis
Proceedings Paper
Engineering, Chemical
Romuald Gyorgy, Michail E. Klontzas, Margaritis Kostoglou, Nicki Panoskaltsis, Athanasios Mantalaris, Michael C. Georgiadis
27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C
(2017)
Proceedings Paper
Engineering, Chemical
Nikolaos E. Koltsaklis, Michael C. Georgiadis
27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C
(2017)
Proceedings Paper
Engineering, Chemical
George N. Nikolaidis, Eustathios S. Kikkinides, Michael C. Georgiadis
27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C
(2017)
Proceedings Paper
Automation & Control Systems
Romuald Gyorgy, Michail E. Klontzas, Margaritis Kostoglou, Nicki Panoskaltsis, Michael C. Georgiadis, Athanasios Mantalaris
Article
Management
Hengyu Liu, Kai Zheng
Summary: Since August 2018, African swine fever (ASF) has caused over one million pig deaths in China and led to a surge in pork prices. To address this issue, the Chinese government has implemented two farm subsidies: the compulsory culling subsidy (CCS) and the large-scale breeding subsidy (LBS). Through a game-theoretic model, the study explores the optimal design of these subsidy programs and their impacts on different stakeholders.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Reza Azad Gholami, Leif Kristoffer Sandal, Jan Uboe
Summary: This paper investigates a decentralized supply channel where a manufacturer and a retailer compete in a multi-period discrete time setting, addressing uncertain demand through dynamic channel optimization. The paper proposes solution algorithms and theorems that highlight the benefits of postponement strategies for the follower and potential harm for the manufacturer in a decentralized channel.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Anne G. Balter, Ki Wai Chau, Nikolaus Schweizer
Summary: This study examines whether the threshold parameter in the Omega ratio represents risk aversion by analyzing the asymptotic expansions for risk premia. The results suggest that the threshold in the Omega ratio represents risk aversion when the variance of the additional risk decreases with the background risk and when the density of the background risk is log-concave. Comparisons with expected utility criteria indicate that the conditions for the Omega threshold to represent risk aversion are comparable to those for exponential utility functions.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Baozhuang Niu, Fengfeng Xie, Lei Chen
Summary: This paper examines the strategic sourcing decisions of a local brand (BOP) when purchasing remanufactured components from a local supplier (LSP). The study finds that the BOP tends to decrease its purchasing orders from the LSP when the probability of overseas supply disruption is high, while the LSP is willing to sell components to the BOP when the probability is in a moderate range.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Chiang Kao
Summary: This study develops a model to calculate the maximum SBM efficiency for general network production systems, and applies it to a garment manufacturing company. The results show that the sewing operation contributes more to the system efficiency than the cutting operation does.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Baozhuang Niu, Jiayun Liu, Jianhua Zhang, Kanglin Chen
Summary: This study examines a brand's decision on reselling through a platform by using game-theoretical analysis and big data validation based on transaction-level data from JD.com. The study finds that the platform's channel advantage and high logistics service level encourage brands to choose the reselling mode, and the impact of the platform's private label competition is non-monotonic.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Ali Fereydooni, Sasan Barak, Seyed Mehrzad Asaad Sajadi
Summary: This study develops an online portfolio selection strategy that considers Environmental, Social, and Governance factors in addition to return and risk. The results indicate the superiority of the approach that considers Environmental, Social, and Governance factors in terms of profit, volatility, and the highest deflated Sharpe ratio.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Sally Giuseppe Arcidiacono, Salvatore Corrente, Salvatore Greco
Summary: This paper introduces a method to handle multiple compatible value functions in multi-criteria decision making by building a probability distribution. Stochastic multicriteria acceptability analysis provides statistical information based on the decision maker's preferences. Extensive simulations and sensitivity analysis have been conducted to demonstrate the superiority of the proposed method.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Junlin Chen, Zewu Jiang, Xiaobo Zhao, Wanshan Zhu, Jinxing Xie
Summary: In this study, we investigate a supply chain system consisting of a retailer and a supplier. We examine the threshold problem in contract design and take into account the risk preference of the retailer and the fairness concern of the supplier. The experiment shows that the behavior of the retailer affects the threshold of the optimal contract design, while the behavior of the supplier only affects the optimal wholesale price. These findings suggest that the behavior of retailers and suppliers play a crucial role in the mechanism design of supply chains.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Shuxia Peng, Bo Li, Wei Zheng
Summary: This study examines the impact of consumers' valuation updating on optimal pricing decisions and market structure in a competitive software market. The results show that with consumers' valuation updating, the incumbent can maximize profits through market segmentation, dominance, or entry deterrence strategies, and is willing to share the market with the entrant, achieving a win-win situation.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Victor Gimenez, Diego Prior, Claudio Thieme, Emili Tortosa-Ausina
Summary: This study proposes a nonparametric activity analysis methodology to assess the effectiveness of pandemic management in 61 countries nine months into the COVID-19 pandemic. The results show that effectiveness is strongly influenced by socioeconomic and cultural factors and reveal three main groups of countries based on their management level. This highlights the importance of operations research methods in accurately assessing pandemic management.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Narges Sereshti, Yossiri Adulyasak, Raf Jans
Summary: This paper investigates the stochastic multi-level lot sizing problem with a service level and explores the value of adding flexibility in such context. By modeling the problem as a two-stage stochastic program with uncertain demand and considering different demand scenarios, the study shows that adding flexibility to the system can result in cost savings, even with a small degree of flexibility.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Jafar Chaab, Georges Zaccour
Summary: This paper examines the pricing of a new product in the presence of sophisticated consumer behaviors. The study finds that forward-looking consumer behavior can either strengthen or weaken the effectiveness of a penetration pricing strategy, while the superiority of committed pricing in terms of firm's profit heavily depends on consumer behaviors.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Amelia Bilbao-Terol, Celia Bilbao-Terol
Summary: This paper presents a methodology that combines the hedonic pricing method and the Choquet integral for modelling the hotel selection process. This hybrid technique takes into account both market valuation and the importance of criteria, and holds potential benefits.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Hui Li, Dongdong Wu
Summary: This study aims to investigate the impact of scale effects from restructuring on performance in tourism firms, and examine the influence of investor attention on restructuring performance. The findings reveal that restructuring activities can enhance scale effects, but the benefits decrease over time, and investor attention online also plays a role in determining restructuring performance.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
