Biobased Supply Chain Optimisation Model under Uncertainties

PurposeThis paper aims to develop supply chain strategies for the fashion retail supply chain (FRSC), likely to be disrupted by the current pandemic (COVID-19) under physical and online retail stores. The resilient retail supply chain design is proposed under budget allocation and merchandise capacity constraints.Design/methodology/approachThis paper utilises the theory of constraint (ToC) and goal programming (GP) to address the COVID-19 impact on FRSC. The budgetary and capacity constraints are formulated with a constraint optimisation model and tested with six different priorities to deal with the physical and online stores. Next, all priorities are developed under different FRSC business scenarios. The ToC-GP-based optimisation model is validated with one of the Indian fashion retail supply chains.FindingsThe proposed optimisation model presents the optimal retailing strategies for selling fashion goods over physical and online platforms. The multiple scenarios are presented for developing trade-offs among different strategies to maximise the retailer's merchandise performance. This paper also highlighted the strategic movement from high merchandise density stores to low merchandise density stores. This implies a reduction of sales targets and aspiration levels of both online and physical fashion stores.Research limitations/implicationsThe proposed model is validated with one of the fashion retailers in India. Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Practical implicationsThis research helps fashion retail supply chain managers deal with consumer demand uncertainty over physical and online stores in pandemic times. Limitation: Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Originality/valueThis is the first study that considered the impact of COVID-19 on the retail fashion supply chain. The effect of physical and online platforms is mainly discussed from consumer marketing perspectives, but an inventory and resilience perspective is missing in earlier studies. The role of merchandise planning is highlighted in this study.

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Supply-Chain Optimisation

OR Insight ◽

10.1057/ori.2001.8 ◽

2001 ◽

Vol 14 (2) ◽

pp. 20-30 ◽

Cited By ~ 1

Author(s):

Zachary Hall ◽

Rajan Batta ◽

Robert Szczerba

Keyword(s):

Supply Chain ◽

Supply Chain Optimisation

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Pollution optimisation study of logistics in SMEs

Management of Environmental Quality An International Journal ◽

10.1108/meq-04-2018-0077 ◽

2019 ◽

Vol 30 (4) ◽

pp. 731-750 ◽

Cited By ~ 2

Author(s):

Anand Jaiswal ◽

Cherian Samuel ◽

G. Abhishek Ganesh

Keyword(s):

Supply Chain ◽

Small And Medium Enterprises ◽

Pollutant Emission ◽

Vehicular Pollution ◽

Data Set ◽

Content Type ◽

Logistics Network ◽

Pollution Emission ◽

Optimisation Model ◽

Medium Enterprises

Purpose The purpose of this paper is to provide a solution for greening the supply chain of small and medium enterprises (SMEs) by minimising the vehicular pollutant emission in the logistics network. Design/methodology/approach The paper proposes an optimisation model to reduce the pollution emission in the logistics of supply chain network in SMEs. The work considers vehicle routing and selection of suppliers, manufacturers and assemblers according to the availability of various Bharat Stage Emission Standards type vehicles. Introsort sorting based selection algorithm is used to solve the problem. The proposed solution is implemented using C++ on an experimental data set for analysing the model. Findings The outcome of the study is a pollution optimisation model for logistics of SMEs. The finding shows an approach to reduce total vehicular pollution emission in the logistics network in meeting the demand. The model is tested over an experimental study, and the result findings show which supply chain entities, type of environmental standard vehicles and vehicle routes are selected for the specific demand. Research limitations/implications The proposed model is confined to pollution optimisation with limited parameters only and does not consider cost and other factors that can be included in future work. Practical implications The work can be used for limiting pollution in logistics system as the corporate social responsibility of enterprises. Originality/value Proposed work presents a sustainable and green solution for pollution control in logistics activities of the SMEs.

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