An integrated Optimization Model of Product Mix, Assortment Packing, and Distribution in A Fashion Footwear Company

C. N. Rosyidi, Erina Annastya Octaviani, P. W. Laksono
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Abstract

Recognizing the paramount importance of operational effectiveness and resource management in supply chain management (SCM) of the fashion industry, this study addresses a specific challenge faced by a prominent Indonesian fashion footwear company. The inefficiency is due to repetitive sorting and packaging processes during product distribution, which significantly impact optimal production mixes and product distribution from the distribution center to the point of sale. A crucial aspect is also the optimization of the delivery route. To address these challenges and minimize the total cost of ownership, the study proposes an integrated optimization model. This model simultaneously determines the optimal production quantity, assortment packaging, and distribution channels, taking into account decision variables related to distribution in configuration boxes, overload and underload products, as well as production numbers that respond to store-specific demand fluctuations. A notable contribution of this research is the integration of product mix decisions into the assortment packaging and distribution model, which represents a novel approach. The optimal solution determined using the LINGO 18.0 software highlights the significant influence of product penalty costs and product demand parameters on the objective function, while shipping costs have no noticeable influence. By emphasizing the integration of product mix decisions into the optimization framework, this research contributes significantly to improving the understanding and practical application of efficient supply chain management in the fashion industry.
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一家时尚鞋业公司的产品组合、分类包装和分销综合优化模型
认识到运营效率和资源管理在时尚产业供应链管理(SCM)中的极端重要性,本研究探讨了印尼一家著名时尚鞋类公司面临的具体挑战。效率低下的原因在于产品分销过程中重复的分拣和包装流程,这严重影响了最佳生产组合以及从分销中心到销售点的产品分销。此外,优化配送路线也是一个至关重要的方面。为了应对这些挑战并最大限度地降低总拥有成本,本研究提出了一个综合优化模型。该模型可同时确定最佳生产量、品种包装和配送渠道,并考虑到与配置箱配送、超载和欠载产品相关的决策变量,以及应对特定商店需求波动的生产数量。这项研究的一个显著贡献是将产品组合决策纳入了分类包装和分销模型,这是一种新颖的方法。使用 LINGO 18.0 软件确定的最优解突出显示了产品惩罚成本和产品需求参数对目标函数的重大影响,而运输成本则没有明显影响。通过强调将产品组合决策纳入优化框架,这项研究极大地促进了对时尚产业高效供应链管理的理解和实际应用。
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