Improving supply chain sustainability using exergy analysis

被引:18
作者
Jawad, Hussam [1 ]
Jaber, Mohamad Y. [1 ]
Nuwayhid, Rida Y. [2 ]
机构
[1] Ryerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, Canada
[2] Rafik Hariri Univ, Dept Mech Engn, POB 10, Beirut 2010, Lebanon
基金
加拿大自然科学与工程研究理事会;
关键词
Inventory; Thermodynamics; Exergy; Sustainability; Coordination; MULTIOBJECTIVE OPTIMIZATION; MANAGEMENT; MODEL; COORDINATION; SYSTEMS; RESOURCES; EMISSIONS; FRAMEWORK; COSTS;
D O I
10.1016/j.ejor.2017.10.007
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Sustainable supply chain management is the improved level of management through the integration of environmental and social issues in parallel to the economic issues. It has emerged as a growing subject that now receives increasing interest from practitioners and academicians. Limited attempts have been made to take a broader look at the overall issues that form the core topics of this type of supply chain. In fact, there have been many exclusive studies that investigated the impact of inadvertent or unavoidable costs of supply chain processes. Exergy analysis is a powerful thermodynamic tool that may be employed to analyze and identify the inefficiencies in a process or a system. It has also been extended to efficiently evaluate how sustainable an industrial system, process or product is. This paper introduces exergetic models that compute and compare the consumed exergy for two coordination policies. It, also, evaluates the consumed exergy when producing/ordering locally versus globally. It recognizes the importance of financial, social and environmental aspects of choosing the more sustainable destination to produce and distribute a product. Numerical examples are presented and discussed to provide some insights for managers and decision-makers to select between domestic policies based on the consumed exergy and the monetary cost. Results show that societies can gain more from less consumed exergy and firms can save on some costs when producing/ordering domestically. This paper recommends to governments and other stakeholders to take actions that are effective in making societies consume resources wisely. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:258 / 271
页数:14
相关论文
共 50 条
  • [1] Supply chain sustainability improvement using exergy analysis
    Naderi, Reihaneh
    Nikabadi, Mohsen Shafiei
    Tabriz, Akbar Alem
    Pishvaee, Mir Saman
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 154
  • [2] A Reference Model of Reverse Logistics Process for Improving Sustainability in the Supply Chain
    Alarcon, Faustino
    Cortes-Pellicer, Pascual
    Perez-Perales, David
    Mengual-Recuerda, Ana
    SUSTAINABILITY, 2021, 13 (18)
  • [3] Multilayer analysis of supply chain strategies' impact on sustainability
    Lopez, Cristina
    Ruiz-Benitez, Rocio
    JOURNAL OF PURCHASING AND SUPPLY MANAGEMENT, 2020, 26 (02)
  • [4] SUSTAINABLE COAL SUPPLY CHAIN MANAGEMENT USING EXERGY ANALYSIS AND GENETIC ALGORITHM
    Naderi, Reihaneh
    Nikabadi, Mohsen Shafiei
    Alem-Tabriz, Akbar
    Pishvaee, Mir Saman
    MANAGEMENT SYSTEMS IN PRODUCTION ENGINEERING, 2021, 29 (01) : 44 - 53
  • [5] Improving sustainability and social responsibility of a two-tier supply chain investing in emission reduction technology
    Bai, Qingguo
    Chen, Mingyuan
    Nikolaidis, Yiannis
    Xu, Jianteng
    APPLIED MATHEMATICAL MODELLING, 2021, 95 : 688 - 714
  • [6] BLOCKCHAIN AND SUPPLY CHAIN SUSTAINABILITY
    Rejeb, Abderahman
    Rejeb, Karim
    LOGFORUM, 2020, 16 (03) : 363 - 372
  • [7] Operational Decision and Sustainability of Green Agricultural Supply Chain with Consumer-Oriented Altruism
    Wei, Guangxing
    Zhou, Linrong
    Bary, Binta
    SUSTAINABILITY, 2022, 14 (19)
  • [8] Sustainability and supply chain infrastructure development
    Ross, Anthony D.
    Parker, Hamieda
    del Mar Benavides-Espinosa, Maria
    Droge, Cornelia
    MANAGEMENT DECISION, 2012, 50 (10) : 1891 - 1910
  • [9] Toward sustainability: using big data to explore the decisive attributes of supply chain risks and uncertainties
    Wu, Kuo-Jui
    Liao, Ching-Jong
    Tseng, Ming-Lang
    Lim, Ming K.
    Hu, Jiayao
    Tan, Kimhua
    JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 663 - 676
  • [10] Supply Chain Simulation of Manufacturing Shirts Using System Dynamics for Sustainability
    Kaur, Gurinder
    Kander, Ronald
    SUSTAINABILITY, 2023, 15 (21)