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Price and profit structuring for single manufacturer multi-buyer integrated inventory supply chain under price-sensitive demand condition

机译:价格敏感需求条件下单个制造商多买方集成库存供应链的价格和利润结构

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This paper undertakes the study of an integrated production-inventory and pricing decision problem for a single manufacturer-multiple buyers supply chain where each buyer faces price-dependent demand. The item manufactured at a finite production rate is shipped to the buyers in multiple equal-sized shipments. Earlier researchers have not studied this problem for maximizing the overall supply chain profit and its allocation among the chain partners. For the allocation of the maximized profit, four different schemes are being proposed, each for a different level of understanding and faith among the partners. Demand, taken as price-sensitive, affects the costs to the manufacturer as the same is dependent upon the sales volume. Since the manufacturer fixes its sales price depending upon the sales volume affected cost, the volume will affect the buyer in terms of its unit purchase cost, and the holding cost which is charged as a percentage of the unit cost. This reality is attempted in this paper in addition to maximization of the chain profit and its allocation among the chain partners for integrated inventory management. Associated problems, formulated as mixed-integer non-linear programming problems, are computationally very hard, and thus evolutionary heuristics as Genetic Algorithm and Teaching-Learning Based Optimization are proposed. The strength of various proposed schemes for profit distributions has been analyzed using numerical experimentation. It is found that a forward contract between manufacturer and buyers will help to generate the maximum profit. It has also been shown that the distribution of profit based on Shapley function values is most fair and logical.
机译:本文针对单个制造商-多个购买者的供应链,其中每个购买者都面临价格依赖的需求,对集成的生产库存和定价决策问题进行了研究。以有限的生产速度制造的商品将以多个相同大小的货件运送给买家。早期的研究人员尚未研究此问题以使整个供应链利润及其在链合作伙伴之间的分配最大化。为了分配最大的利润,正在提议四种不同的方案,每种方案用于伙伴之间的不同理解和信仰水平。对价格敏感的需求会影响制造商的成本,因为成本取决于销量。由于制造商根据销售量影响成本来确定其销售价格,因此销售量将影响买方的单位购买成本和持有成本(占单位成本的百分比)。除了最大化链利润及其在链合作伙伴之间进行集成库存管理的分配外,本文还尝试了这种现实。关联问题被公式化为混合整数非线性规划问题,在计算上非常困难,因此提出了基于遗传算法和基于教学的优化的进化启发式算法。使用数值实验分析了各种提议的利润分配方案的强度。发现制造商和购买者之间的远期合同将有助于产生最大的利润。还表明,基于Shapley函数值的利润分配是最公平和合乎逻辑的。

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