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Sustainable Supply Chain and Inventory Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 3998

Special Issue Editors


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Guest Editor
Department of Operations Analytics, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
Interests: deteriorating/perishable inventory; food supply chain; supply chain management; inventory manamgement; transportation manamgement

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Guest Editor
Kinaxis, 3199 Palladium Dr, Ottawa, ON K2T 0N9, Canada
Interests: integrated supply chain planning; large-scale optimization; eco efficiency

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Guest Editor
School of Business and Economics, Operations Analytics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Interests: supply chain; inventory control; maintenance; after sales service logistics; e-commerce logistics; sustainability

Special Issue Information

Dear Colleagues,

The increasing environmental concerns and the negative impact of industries on societies call not only for the better use of decision-making tools and techniques for managing supply chains but also the further development of optimisation techniques. Various sustainability-related concerns (e.g., climate change, water stress, biodiversity decline) have pushed international organisations and governments to introduce new regulations that change the business environment and present new challenges to supply chain decision makers. Such concerns have also made an impact on customer expectations in the marketplace. As a result, sustainability is becoming a major component of customer requirements. This transition adds to the new challenges that supply chain managers ought to overcome. Recent technological advances provide supply chains with a set of powerful tools to seek opportunities for financial, environmental, and societal improvement, covering all pillars of sustainability. 

This Special Issue aims at proposing and demonstrating new insights into sustainable supply chain and inventory management. To this end, we invite manuscripts that conduct research on sustainability issues in supply chain and inventory management applications, as well as operations research/operations management or life cycle assessment approaches. Topics of interests include, but are not limited to, the following:

  • Sustainability in supply chain configuration;
  • Data-driven decision making and sustainability in supply chain and inventory management;
  • Sustainability in (agri-food) supply chain operations;
  • Waste reduction in (agri-food) supply chain;
  • Reduction of energy consumption in supply chains;
  • Collaboration and sustainability in supply chains;
  • Behavioral factors and sustainable supply chain and inventory management;
  • Circular supply chain management;
  • Closed-loop supply chain management;
  • Trade-offs between sustainability criteria;
  • Uncertainty and sustainability.

We look forward to receiving your contributions.

Dr. Yousef Ghiami
Dr. Masoud Chitsaz
Dr. Ayse Sena Eruguz
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

  • sustainable logistics
  • operations management
  • operations research
  • big data
  • sustainable supply chain planning
  • emissions
  • data sharing
  • sustainable facility location
  • sustainable network design
  • responsible purchasing
  • closed-loop supply chains
  • environmental regulation
  • eco-efficiency index

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Published Papers (3 papers)

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Research

20 pages, 1629 KiB  
Article
A Bilevel Model for Carbon Pricing in a Green Supply Chain Considering Price and Carbon-Sensitive Demand
by Pegah Mesrzade, Farzad Dehghanian and Yousef Ghiami
Sustainability 2023, 15(24), 16563; https://doi.org/10.3390/su152416563 - 5 Dec 2023
Cited by 1 | Viewed by 1255
Abstract
In today’s industrial landscape, there is a mounting urgency to mitigate the adverse environmental impacts of emissions stemming from supply chain operations. On one front, policy-makers impose increasingly stringent emission reduction targets for supply chains, while on another front, consumers express a heightened [...] Read more.
In today’s industrial landscape, there is a mounting urgency to mitigate the adverse environmental impacts of emissions stemming from supply chain operations. On one front, policy-makers impose increasingly stringent emission reduction targets for supply chains, while on another front, consumers express a heightened preference for products and services with reduced carbon footprints. This study addresses the challenge of determining an optimal carbon pricing strategy by integrating the imperatives of a green supply chain with carbon taxation policies. To this end, we introduce a bi-level mixed-integer linear programming model for supply chain network planning, encompassing considerations of carbon taxation policies and the responsiveness of demand to the final product’s price and associated carbon emissions. Findings from a case study underscore that an escalation in carbon pricing prompts the supply chain to prioritize emissions reduction through the utilization of environmentally conscious approaches. The results reveal the need for a USD 0.9/kg carbon price to achieve a 10% emission reduction, resulting in an 80% profit decline. Notably, a 10% reduction has profound impacts, which leads to the suggestion of a gradual approach. Furthermore, as carbon prices reach higher levels, the supply chain tends toward curtailing production, thereby fostering an environment conducive to emission abatement. Consequently, policy formulators must judiciously calibrate a fitting carbon pricing mechanism to strike a harmonious equilibrium between emission reduction targets and the financial outlays of the supply chain. Full article
(This article belongs to the Special Issue Sustainable Supply Chain and Inventory Management)
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31 pages, 2932 KiB  
Article
Research on Sustainable Cooperation Strategies for Cross-Regional Supply Chain Enterprises in Uncertain Environments
by Cui Li, Doudou Wu and Tengfei Shao
Sustainability 2023, 15(22), 15707; https://doi.org/10.3390/su152215707 - 7 Nov 2023
Viewed by 890
Abstract
Considering the fuzziness of cooperation and the sustainability of the redevelopment of cross-regional supply chain enterprises, the fuzzy participation degree and the generalized redistribution coefficient are introduced to describe the problem of cooperation and benefit distribution of cross-regional supply chain enterprises. A fuzzy [...] Read more.
Considering the fuzziness of cooperation and the sustainability of the redevelopment of cross-regional supply chain enterprises, the fuzzy participation degree and the generalized redistribution coefficient are introduced to describe the problem of cooperation and benefit distribution of cross-regional supply chain enterprises. A fuzzy average monotone game is constructed to study the strategies of cross-regional supply chain enterprises to increase the average benefit with the expansion of the alliance scale; a generalized fuzzy reduced game is discussed to ensure the partner selection decision of supply chain enterprises; the concepts of generalized fuzzy core, generalized fuzzy bargaining set, and generalized fuzzy proportional distribution are proposed; the equivalence between the generalized fuzzy core and the generalized fuzzy bargaining set of the fuzzy average monotone game of the cross-regional supply chain enterprises is proved; the nonempty generalized fuzzy core solution of the fuzzy average monotone game is characterized; and the example analysis shows the stability of the cross-regional supply chain enterprise alliance and the existence of the optimal generalized redistribution scheme. The research results not only satisfy the willingness of cross-regional supply chain enterprises to participate in cooperation with some resources from the “environmental” pillar of supply chain enterprise management sustainability but also achieve the strategy of retaining partial benefits for the redevelopment of supply chain alliances from the “economic” pillar of supply chain enterprise management sustainability, which provides a theoretical basis for the cooperation and benefit redistribution of cross-regional supply chain enterprises under uncertain environments. Full article
(This article belongs to the Special Issue Sustainable Supply Chain and Inventory Management)
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16 pages, 4061 KiB  
Article
Economic Growing Quantity Model with Mortality in Newborn Items and Inhibition Cost of Ammonia Production under All-Units Discount Policy
by Amir Hossein Nobil, Erfan Nobil, Leopoldo Eduardo Cárdenas-Barrón, Dagoberto Garza-Núñez, Gerardo Treviño-Garza, Armando Céspedes-Mota, Imelda de Jesús Loera-Hernández and Neale R. Smith
Sustainability 2023, 15(10), 8086; https://doi.org/10.3390/su15108086 - 16 May 2023
Cited by 6 | Viewed by 1342
Abstract
The amount of global ammonia (NH3) emissions is growing continuously, similar to the damage to the environment, particularly humans and animals, caused by those emissions. Various problems derived from pollution by ammonia emissions have attracted increasing attention in recent years. In [...] Read more.
The amount of global ammonia (NH3) emissions is growing continuously, similar to the damage to the environment, particularly humans and animals, caused by those emissions. Various problems derived from pollution by ammonia emissions have attracted increasing attention in recent years. In particular, accumulation of ammonia in poultry farms is a concern for the poultry industry as it can lead to possible damage due to reduced bird performance, damage to the respiratory tract and skin of birds, and thus loss of customers. As birds age, ammonia production increases due to factors such as feeding and mobility, requiring the application of solutions to reduce it such as the use of fans, feed supplements, and temperature adjustments to improve bird health. These solutions impose additional costs on poultry farms to combat ammonia emissions. This study presents a general economic growing quantity (EGQ) model that includes the cost of inhibition of ammonia production during the growing period. In addition, the model is formulated under an all-units discount policy, where the price of newborn items is related to the size of the order purchased from the supplier. Furthermore, the model assumed that some newborn items are dead when the lot is received because of stress experiences and incidents during the catching, loading, transportation, and unloading. Finally, two versions of the proposed general EGQ model are presented: EGQ with no discount and EGQ with known slaughter age. Full article
(This article belongs to the Special Issue Sustainable Supply Chain and Inventory Management)
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