In supply chains, businesses compete to meet customer requirements by leveraging their competitive operational capabilities. In this paper, the manufacturer in its supply chain, faces uncertain market demand environment. Based on the products, operations and demand information, the manufacturer makes decisions to design its manufacturing system that saves time and effort in the production process. The methodology followed in this paper includes four phases. In Phase 1, the manufacturer benefits from the grouping of the similar products into families to save time and effort in the production and eventually the related machines are formed accordingly. In Phase 2, the decision of manufacturing system layout or design, considering a stochastic customer demand, is made including cellular manufacturing system design. In Phase 3, the expected profits generated by the system designed to meet the demand of product families are determined and optimal design is selected accordingly. In Phase 4, the problem of determining the optimal profits and quantities of the individual products in families, considering multi-demand coverage levels, is tackled using a proposed mathematical model, then results are analyzed. The results showed that similar products are grouped into four product families using p-median mathematical model and machine cells are formed accordingly. Consequently, the cellular manufacturing systems is designed for each family and the decision on the optimal number of cells is made based on the maximum expected profits generated by the system designed. Further, the problem of finding the optimal profits by individual products in families is studied considering three demand coverage probability scenarios: non-demand coverage restriction, only lower bound-demand coverage restriction and both lower and upper bounds-demand coverage restriction. Maximum profits are generated when the decision does not include any restriction on the demand; however, the product that has the lowest processing time is produced and sold where other products are not. This may leave the decision maker with either keep-the-winner perspective or not depending on the policy implemented in the competition process. Better decisions are made when more information is shared about the customer requirements.

在供应链中，企业通过利用竞争优势的运营能力进行竞争以满足客户需求。在本文中，制造商在其供应链中面临不确定的市场需求环境。根据产品，操作和需求信息，制造商可以决定设计其制造系统，从而节省生产过程中的时间和精力。本文采用的方法包括四个阶段。在阶段1中，制造商将从同类产品的分组中受益，以节省生产中的时间和精力，并最终形成相应的机器。在阶段2中，考虑到随机的客户需求，做出包括蜂窝制造系统设计在内的制造系统布局或设计决策。在第3阶段，确定旨在满足产品系列需求的系统所产生的预期利润，并据此选择最佳设计。在阶段4中，使用提出的数学模型解决了考虑多需求覆盖水平确定家庭中单个产品的最佳利润和数量的问题，然后分析了结果。结果表明，使用p中值数学模型将相似的产品分为四个产品系列，并相应地形成机器单元。因此，为每个家庭设计了蜂窝制造系统，并根据所设计的系统产生的最大预期利润做出最佳蜂窝数量的决定。进一步，考虑三种需求覆盖概率情形，研究了家庭中单个产品寻找最优利润的问题：非需求覆盖限制，仅下需求覆盖限制和下需求覆盖限制。当决定不包括对需求的任何限制时，就会产生最大的利润；但是，处理时间最短的产品是在其他产品没有的地方生产和销售的。取决于竞争过程中实施的政策，这可能会使决策者要么保持赢家的观点，要么不保持赢家的观点。当共享有关客户需求的更多信息时，可以做出更好的决策。仅下限需求覆盖限制以及下限和上限需求覆盖限制。当决定不包括对需求的任何限制时，就会产生最大的利润；但是，处理时间最短的产品是在其他产品没有的地方生产和销售的。取决于竞争过程中实施的政策，这可能会使决策者要么保持赢家的观点，要么不保持赢家的观点。当共享有关客户需求的更多信息时，可以做出更好的决策。仅下限需求覆盖限制以及下限和上限需求覆盖限制。当决定不包括对需求的任何限制时，就会产生最大的利润；但是，处理时间最短的产品是在其他产品没有的地方生产和销售的。取决于竞争过程中实施的政策，这可能会使决策者要么保持赢家的观点，要么不保持赢家的观点。当共享有关客户需求的更多信息时，可以做出更好的决策。取决于竞争过程中实施的政策，这可能会使决策者要么保持赢家的观点，要么不保持赢家的观点。当共享有关客户需求的更多信息时，可以做出更好的决策。取决于竞争过程中实施的政策，这可能会使决策者要么保持赢家的观点，要么不保持赢家的观点。当共享有关客户需求的更多信息时，可以做出更好的决策。