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Systems
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Multi-criteria Decision Making in Supply Chain Management
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Multi-criteria Decision Making in Supply Chain Management

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Supply Chain Management".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 7730

Special Issue Editors

Dr. Omid Jadidi

E-Mail Website
Guest Editor
Marketing, Operations and Analytics Department, The Bill Munday School of Business, St Edward’s University, Austin, TX 78704, USA
Interests: supply chain management; pricing; game theory; inventory management; dynamic programming; MCDM; MODM
Dr. Fatemeh Firouzi

E-Mail Website
Guest Editor
Marketing, Operations, and Analytics Department, Bill Munday School of Business, St. Edward's University, Austin, TX 78704, USA
Interests: information sharing; operations management; supplier selection; dynamic programming; inventory management; mathematical modeling; decision making and analysis; forecasting

Special Issue Information

Dear Colleagues,

The supply chain is the sequence of companies and their processes of transforming raw materials into final goods and/or services. Effective collaboration between supply chain companies dramatically reduces their inventories and related costs, which results in faster practices, customer satisfaction, etc. Successfully performing supply chain collaboration concerns multiple criteria such as inventory and production costs, environmental impact, and customer satisfaction. They contribute to the added complexity of these decisions and escalate the need for the development of advanced decision-making tools. Multi-criteria decision making (MCDM) is a systematic procedure used by supporting decision makers in these situations. MCDM problems are divided in two subsets: multi-attribute decision making (MADM) and multi-objective decision making (MODM) problems. MADM problems refer to determining the ranking of alternatives in the presence of multiple attributes. However, MODM problems involve the design of alternatives, thereby optimizing the decision-makers’ objectives.

This Special Issue considers all the multi-attribute decision making techniques applied to supply chain management problems.

The topics include, but are not limited to:

  • Multi-criteria decision making for logistics and supply chains;
  • Multi-criteria decision making for sustainable logistics and supply chains;
  • Fuzzy and/or stochastic multi-criteria decision making for logistics and supply chains;
  • Multi-criteria decision making for inventory management;
  • Multi-criteria decision making for product development;
  • Supplier selection and evaluation.

Dr. Omid Jadidi
Dr. Fatemeh Firouzi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (5 papers)

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Research

23 pages, 3527 KiB  
Article
Fresh Produce Ordering, Pricing and Freshness-Keeping Decisions with Call Option Contracts and Spot Markets
by Deng Jia, Xingyu Chen and Chong Wang
Systems 2024, 12(5), 150; https://doi.org/10.3390/systems12050150 - 26 Apr 2024
Viewed by 223
Abstract
Considering the characteristics of both quality and quantity losses in fresh produce as well as the existence of spot markets, optimal retailer ordering, pricing, and freshness-keeping decisions through the single ordering policy (firm ordering only or option ordering only) and the mixed ordering [...] Read more.
Considering the characteristics of both quality and quantity losses in fresh produce as well as the existence of spot markets, optimal retailer ordering, pricing, and freshness-keeping decisions through the single ordering policy (firm ordering only or option ordering only) and the mixed ordering policy (firm ordering and option ordering simultaneously) are constructed based on option contracts and analyzed for the retailer under different ordering policies. The results show that there is a unique optimal pricing, ordering, and freshness-keeping decision under all three ordering policies, but there is no joint decision. The optimal freshness-keeping and retail price under the mixed ordering policy are lower than those under the option ordering only but higher than those under the firm ordering only. When only a single order can be placed, the retailer’s optimal ordering policy is determined by demand risk. When all three ordering policies are available, the optimal ordering policy for the retailer is the mixed ordering policy. A spot market will weaken the role of option contracts in mitigating supply chain risks, and the larger the risk, the more significant the role of the spot market. Full article
(This article belongs to the Special Issue Multi-criteria Decision Making in Supply Chain Management)
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21 pages, 6099 KiB  
Article
Game Models for Ordering and Channel Decisions of New and Differentiated Remanufactured Products in a Closed-Loop Supply Chain with Sales Efforts
by Niu Gao, Linchi Qu, Yuantao Jiang and Jian Hou
Systems 2024, 12(3), 67; https://doi.org/10.3390/systems12030067 - 20 Feb 2024
Viewed by 992
Abstract
Environmental responsibility and economic benefits have promoted the development of closed-loop supply chains (CLSCs), and shortages and channels are considered to be two important issues in a CLSC. This paper explores the ordering and channel decisions in a CLSC with new and differentiated [...] Read more.
Environmental responsibility and economic benefits have promoted the development of closed-loop supply chains (CLSCs), and shortages and channels are considered to be two important issues in a CLSC. This paper explores the ordering and channel decisions in a CLSC with new and differentiated remanufactured products; considers the price and sales-effort-dependent demands, as well as the proportion of emergency orders determined by emergency order costs and backorder losses; and establishes integrated and decentralized CLSC game models. We introduce a stochastic sales effort, which affects two types of products. The numerical results show that sales effort and the order quantity of new and remanufactured products exhibit concave and convex functions, respectively. The upper limit of sales effort has a greater impact on supply chain decisions. High sales efforts can serve as a means of coordinating dispersed supply chains. Moreover, in different cases, the decisions of an integrated channel are better than those of a decentralized channel. Finally, whether the supply chain adopts an emergency order strategy depends on the relative cost of emergency orders and out-of-stock costs. According to this research, some management insights are also provided. Full article
(This article belongs to the Special Issue Multi-criteria Decision Making in Supply Chain Management)
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21 pages, 3469 KiB  
Article
Research on Supply Chain Coordination Decision Making under the Influence of Lead Time Based on System Dynamics
by Mingli Zhang, Yanan Wang and Yijie Zhang
Systems 2024, 12(1), 32; https://doi.org/10.3390/systems12010032 - 18 Jan 2024
Viewed by 1556
Abstract
Supply chain coordination has been a research hot spot in supply chain management. This paper constructs a secondary supply chain system. Taking the abatement of the bullwhip effect and the double marginal effect as the coordination objective, a simulation study of supply chain [...] Read more.
Supply chain coordination has been a research hot spot in supply chain management. This paper constructs a secondary supply chain system. Taking the abatement of the bullwhip effect and the double marginal effect as the coordination objective, a simulation study of supply chain decision coordination was conducted using system dynamics. First, by controlling the lead time, it was found that in the decentralized decision-making model, the profit of the supplier and the whole supply chain increases with the shortening of the lead time, and vice versa for the retailer. In the centralized decision-making model with the addition of information sharing and contract, it was found that the retailer’s profit is consistent with the trend of the supplier and the supply chain as a whole, and the supplier’s profit is lower than that of decentralized decision making in the pre-cooperation period. In addition, it is also found that adjusting the contract parameters can effectively improve the situation. Finally, the above models were analyzed for supply chain coordination decisions based on two scenarios: “cooperative stability” or “balance of effects”. Full article
(This article belongs to the Special Issue Multi-criteria Decision Making in Supply Chain Management)
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17 pages, 1013 KiB  
Article
Predicting the Use of Chatbots for Consumer Channel Selection in Multichannel Environments: An Exploratory Study
by Ionica Oncioiu
Systems 2023, 11(10), 522; https://doi.org/10.3390/systems11100522 - 20 Oct 2023
Viewed by 1618
Abstract
Online consumers are increasingly looking for more convenient ways to purchase products and services, and chatbots are becoming increasingly popular in multichannel environments due to their ability to provide an efficient service. In this context, managing digital complexity with the help of artificial [...] Read more.
Online consumers are increasingly looking for more convenient ways to purchase products and services, and chatbots are becoming increasingly popular in multichannel environments due to their ability to provide an efficient service. In this context, managing digital complexity with the help of artificial intelligence and supporting decisions in a multichannel context is an appealing perspective for the retailer, who must find the right strategy to win and keep customers online. The present empirical study aims to better understand consumer behaviour in the multichannel environment in the context of four categories of products and services (retail banking, mobile communications, fashion, and consumer electronics) from the perspective of identifying determinants of channel selection when the consumer uses chatbots. Data were collected from 936 respondents with multichannel retail experience to conduct an empirical investigation on social media platforms, including Twitter, Facebook, and Instagram; these data were then analysed using structural equation modelling (SEM). We found that the online consumer’s multichannel behaviour was not only a reality in the field of broad purchasing decisions but already a norm, and consumers had good reasons to use more channels in the context of chatbots. Research results suggest that chatbots can represent a decision-making aid for managers in retail companies who want to develop an efficient and optimal logistics service strategy in multichannel environments. Full article
(This article belongs to the Special Issue Multi-criteria Decision Making in Supply Chain Management)
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19 pages, 2390 KiB  
Article
Global Industrial Chain Resilience Research: Theory and Measurement
by Li Ma, Xiumin Li and Yu Pan
Systems 2023, 11(9), 466; https://doi.org/10.3390/systems11090466 - 06 Sep 2023
Viewed by 2262
Abstract
Global industrial chain resilience refers to the capability of industrial chains, on a global scale, to maintain or restore their normal operations and value-creating ability in the face of various risks and uncertainties. This resilience is crucial for addressing crises, promoting economic growth, [...] Read more.
Global industrial chain resilience refers to the capability of industrial chains, on a global scale, to maintain or restore their normal operations and value-creating ability in the face of various risks and uncertainties. This resilience is crucial for addressing crises, promoting economic growth, and upholding national security. However, there is currently a lack of unified standards and methods for measuring and enhancing global industrial chain resilience. This study constructs a global industrial chain production model in a multi-country and multi-stage open economy context. It utilizes data from the 1990–2021 Eora MRIO (Multi-Regional Input–Output) dataset to analyze the formation, measurement, and influencing factors of global industrial chain resilience. The research findings indicate that since 2010, the disparity in industrial chain resilience between different countries has gradually widened. Manufacturing plays a pivotal role in maintaining industrial chain stability. Additionally, factors such as input costs and technological levels have been found to positively impact the enhancement of global industrial chain resilience. Therefore, this study provides theoretical and empirical support for exploring and improving global industrial chain resilience, offering valuable guidance for policymakers and entrepreneurs. Full article
(This article belongs to the Special Issue Multi-criteria Decision Making in Supply Chain Management)
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