Functional Model of Supply Chain Waste Reduction and Control Strategies for Retailers—The USA Retail Industry
Victory Ikpe () and
Mohammad Shamsuddoha ()
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Victory Ikpe: Department of Economics and Decision Sciences, Western Illinois University, Macomb, IL 61455, USA
Mohammad Shamsuddoha: Department of Management and Marketing, Western Illinois University, Macomb, IL 61455, USA
Logistics, 2024, vol. 8, issue 1, 1-17
Abstract:
Background: The US retail sector grapples with persistent challenges related to supply chain waste, including inefficiencies, overstocking, and logistical barriers, necessitating targeted reduction strategies to mitigate escalating costs, environmental impacts, and diminished profitability. Methods : This study adopts a qualitative research method that draws on secondary data sources such as books, journals, articles, and websites to explore supply chain waste reduction strategies within the US retail industry. The study delineates various supply chain waste types, examines associated challenges and drivers, and proposes a simplified model tailored to the US retail landscape to enhance efficiency and sustainability through waste reduction and control. Results: The findings of this paper underscore the necessity for proactive measures within the US retail sector to minimize supply chain waste, optimize operations, and bolster environmental stewardship. Conclusions: By offering a comprehensive overview actionable insights and proposed reverse logistics model, this study aims to equip US retailers with strategies conducive to sustainable growth and heightened competitiveness while advancing the broader discourse on supply chain efficiency and waste reduction.
Keywords: supply chain wastes; retail industry; waste reduction; sustainability; environmental impact; efficiency (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:8:y:2024:i:1:p:22-:d:1342733
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