Abstract
Working capital management (WCM) seeks to improve the efficiency of a firm’s operation through managing its inventory, accounts receivable, and accounts payable. Supply chain networks composed of various entities, e.g. supplier, manufacturer, which coordinate in order to deliver the finished product to the customer at the right time. The average days that it takes for a company to convert a dollar invested in raw material into a dollar collected from customer is defined as cash conversion cycle (CCC). A low CCC implies that the company has lower financial cost to fund its business operation. It goes without saying that, all firms are willing to decrease their financial cost through diminishing CCC, however minimization of the CCC for the supply chain echelons are in conflict, as one firm’s payable period is another firm’s receivable period. In this paper, a simulation- based optimization (SBO) model is developed to make trade-offs between conflicting cash conversion cycle minimizations for supply chain members through finding optimal values to the financial and inventory decisions parameters. The results indicated that CCC of the supply chain entities can be decreased significantly by employing optimal values of inventory and financial decisions parameters.
| Original language | English |
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| Title of host publication | ? |
| DOIs | |
| Publication status | Published (in print/issue) - 2018 |
| Event | IEEE International Conference on Intelligent Systems - Funchal, Portugal Duration: 25 Sept 2018 → 27 Sept 2018 |
Conference
| Conference | IEEE International Conference on Intelligent Systems |
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| Country/Territory | Portugal |
| City | Funchal |
| Period | 25/09/18 → 27/09/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Fingerprint
Dive into the research topics of 'Simulation-based system dynamics optimization modelling of supply chain working capital management under lead time uncertainty'. Together they form a unique fingerprint.Student theses
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Hybrid simulation optimisation modelling for integrated planning of cash and material flows in supply chains
Badakhshan, E. (Author), Maguire, L. (Supervisor), Mc Ivor, R. (Supervisor) & Humphreys, P. (Supervisor), Dec 2020Student thesis: Doctoral Thesis
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