Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/25372
Title: Model to optimize the quantities of delivery products prioritizing the sustainability performance
Authors: Prabodhika, A. P. K. J.
Niwunhella, D. H. H.
Wijayanayake, A. N.
Keywords: Analytic network process, linear programming problem, logistics service providers, sustainability, sustainability indicators
Issue Date: 2021
Publisher: Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka
Citation: Prabodhika A. P. K. J.; Niwunhella D. H. H.; Wijayanayake A. N. (2021), Model to optimize the quantities of delivery products prioritizing the sustainability performance, International Research Conference on Smart Computing and Systems Engineering (SCSE 2021), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 154-160.
Abstract: Many manufacturers and retailers often outsource their logistics functions to Logistics Service Providers (LSPs) to focus more on their core business process. Due to the competitiveness and the popularity of the sustainability concept, those organizations evaluate their prospective LSPs not only based on economic aspects like cost, service quality but also on social and environmental aspects as well when selecting LSPs. This paper proposes a methodology that can be used by organizations when evaluating and selecting LSPs based on their sustainability performance. Analytic Network Process (ANP) is used in evaluating the LSPs’ sustainable performance since multiple dimensions and indicators need to be incorporated when measuring the sustainability performance. A Linear Programming Problem (LPP) model was proposed which allows the organizations to decide both desired number of LSPs and the volume to be allocated for those selected LSPs. The proposed methodology is flexible as it depends on the sustainability requirements of the organization when selecting LSPs. Both the indicators and their relative importance are up to the organization to decide.
URI: http://repository.kln.ac.lk/handle/123456789/25372
Appears in Collections:Smart Computing and Systems Engineering - 2021 (SCSE 2021)

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