Application of linear programming to swap analysis in supply chain management of oil industry

Khorramshahgol, Reza; Al-Hussain, Raed; Tamiz, Mehrdad

doi:10.1080/02522667.2010.10700033

Cited by 2 publications

(2 citation statements)

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“…Two earlier studies (Khorramshahgol et al, 2010;Khorramshahgol et al, 2014), offered models based on linear programming (LP) and goal programming (GP) to solve the swap problems for two petrochemicals companies (named A and B). This paper investigates the sensitivity of the results of the swap analysis (from the two earlier research studies) due to changes in demand pattern, production capacity, volume owed, sharing periodicity (τ), and rice pattern.…”

Section: Methodsmentioning

confidence: 99%

“…The model included its limitations and strengths. Two earlier studies used linear programming (Khorramshahgol et al, 2010) and Goal Programming (Khorramshahgol et al, 2014) to help SC designers and managers better decide on what, where, and how much to swap with competitors. Results of these latter two studies show that the use of systematic approaches (such as mathematical modeling) to swap practices outperform the judgmental approaches currently in use.…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Analysis of the Determinants of Swap Problem in the Supply Chain of the Petroleum Industry

Al-Hussain

Khorramshahgol²

2016

IJSP

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Applying mathematical modeling to solve swap problems, specifically in the petroleum industry, have proven to help the decision makers to better determine what, where, and how much to swap in order to reduce supply chain (SC) costs and improve its surplus. However, for a better determination of the alternatives and a more profound evaluation of the tradeoffs among them, a comprehensive analysis of the results and a thorough investigation of their impact on the parties involved in swap are crucial. This research performs a detailed sensitivity analysis of the swap problem to examine the effect of different operational parameters on the cost savings realized along the supply chain of the organizations involved in swap. Findings of this study suggest that, if performed properly, swap can significantly reduce supply chain costs and may result in substantial savings, creating a win-win situation for all parties engaged in swap.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%