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Strategies in Supply Chain Planning and Business Resilience
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Strategies in Supply Chain Planning and Business Resilience

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 21106

Special Issue Editors

Dr. Chia-Hsun Chang

E-Mail Website
Guest Editor
Faculty of Engineering and Technology School of Engineering, Liverpool John Moores University, Liverpool, UK
Interests: maritime management; logistics and supply chain management; risk assessment and management; autonomous ships
Dr. Christos Kontovas

E-Mail Website
Guest Editor
School of Engineering, Liverpool John Moores University, Liverpool, UK
Interests: ship air emissions; sustainable maritime transport; maritime logistics; maritime safety and risk analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Chi-Chang Lin

E-Mail Website
Guest Editor
Department of Transportation and Logistics, Feng Chia University, Taichung City, Taiwan
Interests: supply chain management; port operation; global logistics; smart logistics
Dr. Poti Chaopaisarn

E-Mail Website
Guest Editor
Department of Industrial Engineering, Chiang Mai University, Chiang Mai, Thailand
Interests: logistics and supply chain management; multimodal transport; industry 4.0; operations management; performance measurement

Special Issue Information

Dear Colleagues,

We are calling for papers for a Special Issue of the journal Sustainability entitled "Strategies in supply chain and business resilience".  Sustainability is an Open Access journal with high visibility (indexed amongst others by Web of Science and Scopus). It has an impact factor of 3.251 (2022) with a rapid publication process.

The Special Issue aims to facilitate research of strategies and resilience in logistics and supply chain management. Supply chain management and logistics have received increasing attention from both industries and academics, especially along with a series of incidents that affect worldwide industries such as Brexit, the trade war between US and China, COVID-19, the Suez Canal accident, increasing cyberattack incidents, etc., as well as the increasing pressure of environmental protection. This, therefore, generates several concerns, for example, how can we sufficiently manage the supply chain and logistics? What are the best strategies to handle these issues in supply chains? What can businesses do to show their resilience? Moreover, after the introduction of Logistics 4.0 and smart supply chain management, how do these advanced technologies assist businesses improve their performance? This Special Issue, titled “Strategies in supply chain and business resilience”, wishes to provide the interdisciplinary research insights which business managements may turn to when innovating their processes, products, and services, thus gearing towards sustainable growth in the current era of a competitive marketplace.

We welcome a wide range of scientific research, including quantitative and qualitative methods. Authors are not restricted to, but are welcome to consider the topics listed below:

  • Strategies for improving supply chain performance;
  • Strategies for improving supply chain and logistics resilience;
  • Supply chain and logistics risk management in various areas (e.g., cybersecurity, disruption, security and safety, etc.);
  •  Sustainable supply chain and logistics practices;
  •  Innovative supply chain and logistics practices;
  •  Transportation and logistics business and management;
  •  Logistics 4.0 and smart supply chain management (e.g., AI, autonomous, big data, IoT, blockchain, etc.).

Dr. Chia-Hsun Chang
Dr. Christos Kontovas
Dr. Chi-Chang Lin
Dr. Poti Chaopaisarn
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. Sustainability is an international peer-reviewed open access semimonthly 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.

Keywords

  • supply chain and logistics
  • resilience
  • risk assessment
  • risk management
  • sustainability
  • innovation
  • logistics 4.0
  • smart supply chain management

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

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Research

19 pages, 2502 KiB  
Article
Porcelain Supply Chain Coordination Considering the Preferences of Consumers against the Background of E-Commerce
by Haiping Ren and Rui Chen
Sustainability 2023, 15(13), 9877; https://doi.org/10.3390/su15139877 - 21 Jun 2023
Viewed by 1220
Abstract
In e-commerce transactions, the packaging level of porcelain, to a certain extent, determines the loss rate of goods in the transportation process. Therefore, encouraging decisionmakers to improve the packaging level is key to coordinating the supply chain of porcelain. Considering consumers’ preferences for [...] Read more.
In e-commerce transactions, the packaging level of porcelain, to a certain extent, determines the loss rate of goods in the transportation process. Therefore, encouraging decisionmakers to improve the packaging level is key to coordinating the supply chain of porcelain. Considering consumers’ preferences for packaging level, this paper constructs three kinds of porcelain supply chain decision-making models, including the impact of the packaging level on porcelain transport losses and after-sales problems caused by transport losses. Using Stackelberg game knowledge, the equilibrium decision and supply chain profit under three decision models are compared and analyzed. The main findings are as follows: the decision and profit are better in the centralized decision-making mode. In the decentralized decision-making model, the profit of the leader is higher than that of the follower. Consumers’ preferences for porcelain packaging and the value coefficient of packaging protection have a positive effect on the improvement of supply chain profits and the level of porcelain packaging. In addition, in view of the decentralized decision-making model led by suppliers, this paper introduces a joint contract to encourage the members of the supply chain to improve the packaging level of porcelain and achieve the perfect coordination of the supply chain. Full article
(This article belongs to the Special Issue Strategies in Supply Chain Planning and Business Resilience)
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21 pages, 5539 KiB  
Article
Seasonal Methods of Demand Forecasting in the Supply Chain as Support for the Company’s Sustainable Growth
by Anna Borucka
Sustainability 2023, 15(9), 7399; https://doi.org/10.3390/su15097399 - 29 Apr 2023
Cited by 10 | Viewed by 7065
Abstract
Demand forecasting plays a key role in supply chain planning, management and its sustainable development, but it is a challenging process as demand depends on numerous, often unidentified or unknown factors that are seasonal in nature. Another problem is limited availability of information. [...] Read more.
Demand forecasting plays a key role in supply chain planning, management and its sustainable development, but it is a challenging process as demand depends on numerous, often unidentified or unknown factors that are seasonal in nature. Another problem is limited availability of information. Specifically, companies lacking modern IT systems are constrained to rely on historical sales observation as their sole source of information. This paper employs and contrasts a selection of mathematical models for short-term demand forecasting for products whose sales are characterized by high seasonal variations and a development trend. The aim of this publication is to demonstrate that even when only limited empirical data is available, while other factors influencing demand are unknown, it is possible to identify a time series that describes the sales of a product characterized by strong seasonal fluctuations and a trend, using selected mathematical methods. This study uses the seasonal ARIMA (autoregressive integrated moving average) model, ARIMA with Fourier terms model, ETS (exponential smoothing) model, and TBATS (Trigonometric Exponential Smoothing State Space Model with Box–Cox transformation, ARMA errors, Trend and Seasonal component). The models are presented as an alternative to popular machine learning models, which are more complicated to interpret, while their effectiveness is often similar. The selected methods were presented using a case study. The results obtained were compared and the best solution was identified, while emphasizing that each of the methods used could improve demand forecasting in the supply chain. Full article
(This article belongs to the Special Issue Strategies in Supply Chain Planning and Business Resilience)
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25 pages, 4264 KiB  
Article
A Proposed Performance-Measurement System for Enabling Supply-Chain Strategies
by Paitoon Varadejsatitwong, Ruth Banomyong and Puthipong Julagasigorn
Sustainability 2022, 14(19), 11797; https://doi.org/10.3390/su141911797 - 20 Sep 2022
Cited by 4 | Viewed by 3314
Abstract
Existing performance-measurement systems in the supply-chain literature have been designed for specific supply chains. Without a business-appropriate performance-measurement system, practitioners devise strategies that are neither scientific nor supported by data. The objective of this paper was to propose a performance-measurement system to support [...] Read more.
Existing performance-measurement systems in the supply-chain literature have been designed for specific supply chains. Without a business-appropriate performance-measurement system, practitioners devise strategies that are neither scientific nor supported by data. The objective of this paper was to propose a performance-measurement system to support the enabling of supply-chain strategies. The proposed performance-measurement system (PMS), combining the Plan–Do–Check–Act cycle (PDCA) with the evidence-based management (EBM) concept, served as the basis for developing a procedural framework. The PMS was validated using the case logistics service providers (LSPs). The PDCA methodology was used to develop a structural framework for fourth-party logistics (4PL). In the Plan step, the research team identified the business problems of fourth-party logistics (4PL). In the Do step, the LSP literature was reviewed, to identify five performance dimensions (‘Service Quality’; ‘Social and Environmental’; ‘Inter-organizational Relationship’; ‘Financial’; and ‘Efficiency and Effectiveness’), and key performance indicators (KPIs). The 4PL management team participated in the finalization of the five performance dimensions and the 53 KPIs, which were used to propose a preliminary version of the structural framework for the 4PL. In the Check step, the data collected from 478 subcontractors of the 4PL were analyzed, using confirmatory factor analysis and structural equation modeling, and were used to validate the proposed structural framework for the 4PL. The validated structural framework was further presented at an academic conference, and to the 4PL for feedback, and was used to formulate supply-chain strategies through brainstorming. The findings include a validated structural framework containing five performance dimensions and 32 KPIs. The research revealed that input performance (‘Service Quality’, ‘Social and Environmental’, and ‘Inter-organizational Relationship’) positively affected output performance (‘Financial’ and ‘Efficiency and Effectiveness’). Supply-chain strategies were further suggested to the 4PL. The validating case in this study demonstrated that the employed procedural framework (PDCA and EBM) was applicable, and could be used to derive a structural framework and supply-chain strategies for the 4PL. This study contributes to the literature, by proposing a PMS for supply-chain strategy development. The paper’s illustrative case provides a practical application of how to develop a performance-measurement system. Full article
(This article belongs to the Special Issue Strategies in Supply Chain Planning and Business Resilience)
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28 pages, 2561 KiB  
Article
Pharmaceutical Supply Chain in China: Pricing and Production Decisions with Price-Sensitive and Uncertain Demand
by Suhan Wu, Min Luo, Jingxia Zhang, Daoheng Zhang and Lianmin Zhang
Sustainability 2022, 14(13), 7551; https://doi.org/10.3390/su14137551 - 21 Jun 2022
Cited by 5 | Viewed by 3643
Abstract
In this paper, we apply game theory to study the price competition between drugstores and hospitals in China’s pharmaceutical supply chain. Motivated by drug shortages and price disparity problems, we build a simplified model with one supplier, one hospital, and one drugstore in [...] Read more.
In this paper, we apply game theory to study the price competition between drugstores and hospitals in China’s pharmaceutical supply chain. Motivated by drug shortages and price disparity problems, we build a simplified model with one supplier, one hospital, and one drugstore in which the sellers sell one kind of drug and compete on price. The hospital receives a discount from the government when ordering the drug and both sellers face a price-sensitive and uncertain demand. The existence and uniqueness of a Nash equilibrium are proved and closed-form solutions are found for linear demand cases. We characterize the pricing and ordering decisions of the hospital and drugstore. The analysis shows that high ex-factory price, high price sensitivity, and a small discount are three factors contributing to drug shortages. We consider two special kinds of linear demand to obtain insights into the drug price disparity problem. Full article
(This article belongs to the Special Issue Strategies in Supply Chain Planning and Business Resilience)
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25 pages, 2553 KiB  
Article
Factors Affecting Multimodal Transport during COVID-19: A Thai Service Provider Perspective
by Teerasak Charoennapharat and Poti Chaopaisarn
Sustainability 2022, 14(8), 4838; https://doi.org/10.3390/su14084838 - 18 Apr 2022
Cited by 6 | Viewed by 4334
Abstract
Multimodal transport is a critical component in developing the international trade economy, and logistics service providers are a critical component in multimodal transport. However, the recent COVID-19 pandemic has seriously affected the transport system, especially in light of the ongoing rise in transportation [...] Read more.
Multimodal transport is a critical component in developing the international trade economy, and logistics service providers are a critical component in multimodal transport. However, the recent COVID-19 pandemic has seriously affected the transport system, especially in light of the ongoing rise in transportation costs which has increased firm operating costs. Furthermore, the COVID-19 pandemic has severely influenced the economic sector, resulting in decreased growth. This research aims to determine the priorities of the most important factors for developing and improving multimodal transport compared to pre-COVID-19 and during the COVID-19 outbreak. This research consisted of two stages. The first stage used bibliometric analysis to define multimodal transport dimensions and criteria based on the previous and current literature studies on multimodal transport and used confirmatory factor analysis (CFA) to verify the relationship between factors and multimodal transport. The second stage used the fuzzy best-worst method (FBW) combined benefit, opportunity, cost and risk (BOCR) to prioritize the improvement and development of multimodal transport during the COVID-19 crisis, which considers the perspective of logistics service providers in Thailand. These factors, when identified, would help policymakers design more efficient policies to improve and solve multimodal transport problems mainly caused by strict public health measures during COVID-19. Full article
(This article belongs to the Special Issue Strategies in Supply Chain Planning and Business Resilience)
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