Reimagining India's cold chain sector and its contribution to Atmanirbhar Bharat and global supply chain trends

Rais, Mohammad; Gautam, Prerna; Yadav, Pragya D; Singh, Mutum Ibomcha

doi:10.1504/ijpm.2023.132610

Cited by 1 publication

(2 citation statements)

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“…Also, the first-stage problem requires explaining a specific multi-facility network design problem using an exact enhanced cut-generation procedure coupled with a column generation algorithm. Rais et al [18] performed a simulation to demonstrate inventory management and demand diversity to reduce the bullwhip effect in the steel supply chain. This study shows that information sharing can reduce the bullwhip effect in the supply chain.…”

Section: Related Workmentioning

confidence: 99%

“…Constraints ( 11) to (16) guarantee that the interval between warehouses and plants and the distance between customers and warehouses and plants are within the warehouses' coverage ranges and plants that deliver products. Finally, the constraint sets ( 17), (18), and ( 19) implement the limitations of non-negativity on the associated decision variables, while the constraint sets ( 20), ( 21), ( 22), (23), and ( 24) impose limitations of integrity on the binary variables.…”

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confidence: 99%

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Enhancement the Performance of Multi-Level and Multi-Commodity in Supply Chain: A Simulation Approach

Kolahi-Randji,

Nejad Attari,

Ala

2023

J. Soft. Comput. Decis. Anal.

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In today's global economy, effective supply chain management plays a pivotal role in the success of a business. The repercussions of a business strategy on the entire supply chain remain uncertain until it is implemented. Utilizing simulations offers the opportunity to gauge performance before implementing the strategy. The primary aim of employing supply chain simulation is to analyze the effects of different strategies on profit enhancement and cost reduction across all supply chain tiers. This research paper has formulated a discrete event simulation model using Arena software to evaluate and enhance the operational efficiency of the detergent supply chain. The problem involves multiple levels and commodities, encompassing four manufacturers, two intermediate storage warehouses, and four main distributors following an (s, S) inventory control approach. Shortages are permitted, leading to a partial loss or back-ordering of products. The overarching objective is to minimize the overall inventory costs within the system, accounting for holding costs at each tier, managing shortages, and the expense incurred due to lost sales. A range of scenarios are developed to set control parameters, with the evaluation of supply chain performance falling into two main categories: financial and operational considerations.

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Section: Related Workmentioning

confidence: 99%

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confidence: 99%