A Sustainable Supply Chain Integrated with Autonomated Inspection, Flexible Eco-Production, and Smart Transportation


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Dey B. K., Yılmaz İ., Seok H.

Processes, vol.10, no.9, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 10 Issue: 9
  • Publication Date: 2022
  • Doi Number: 10.3390/pr10091775
  • Journal Name: Processes
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, INSPEC, Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Keywords: autonomated inspection, investment management, single-setup-multi-delivery, sustainability, variable production rate
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

© 2022 by the authors.The present study focuses on supply chain management to improve its sustainability from economic, environmental, and social perspectives. First, improving production process reliability and cost reduction are two main factors for enhancing economic sustainability. Hence, we introduced autonomated inspection and invested in ordering and setup costs. Second, reducing the carbon footprint in supply chains is the main pillar of their environmental stewardship, which is addressed by an eco-friendly and flexible production system in this study. Finally, an advanced single-setup-multi-delivery (SSMD) strategy is utilized to improve social aspects associated with human labor increase. For practicality, demand is considered as the selling price and is quality dependent. The sustainability enhancement is transformed as a term of profit; therefore, our model maximizes the total profit of the supply chain by optimizing a manufacturer’s and retailer’s decision variables. Numerical examples show that autonomation technology increases the system’s reliability by (Formula presented.), where eco-production reduces carbon emission by up to (Formula presented.), and the total profit increases by up to (Formula presented.). Moreover, the application of advanced SSMD reduces the transportation cost by up to (Formula presented.).