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Synchronized Production and Transportation Planning Using Subcontracted Vehicles in a Production-Distribution Network

机译：生产分配网络中使用分包车辆的同步生产和运输计划

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摘要

Effective management of interfaces between procurement, supply, production and distribution for higher efficiency in the supply chain is an important issue in global manufacturing, where the synchronization of production and transportation planning represents important savings in operational costs. This paper focuses on the synchronization of production planning and transportation planning in a production distribution network, where transportation is subcontracted to a professional transportation enterprise (PTE) for vehicle-hiring. Dynamic and flexible numbers of vehicles are used to cater for fast changing market demands. Thus, the number of vehicles to be hired is viewed from the planning point of view as an operational decision considered simultaneously with production and transportation planning. A mathematical model - SPTP/MTDS -for synchronized production and transportation planning under multiple times and direct shipping strategy (MTDS) is discussed, and a Lagrange relaxation decomposition-based two layer decision procedure (LRD-TLDP) is developed. By introducing artificial decision variables and Lagrange multipliers, SPTP/MTDS is decomposed into a production decision sub-problem (SPTP-PD), and a distribution decision sub-problem (SPTP-DD). A priority-based assignment heuristic and a partial chain-based genetic algorithm are developed to solve SPTP-PD and SPTP-DD, respectively. An illustration of the application of the model in an electronic appliance manufacturing enterprise in China is presented.
机译：有效管理采购，供应，生产和分销之间的接口以提高供应链的效率是全球制造业中的一个重要问题，在全球制造业中，生产和运输计划的同步表示可节省大量运营成本。本文着重于生产分配网络中生产计划和运输计划的同步，其中运输被分包给专业的运输企业（PTE）进行车辆租赁。动态和灵活数量的车辆用于满足快速变化的市场需求。因此，从计划的观点来看，将要租用的车辆的数量视为与生产和运输计划同时考虑的操作决策。讨论了用于多次生产和运输计划同步和直接运输策略（MTDS）的数学模型SPTP / MTDS，并开发了基于拉格朗日松弛分解的两层决策程序（LRD-TLDP）。通过引入人工决策变量和拉格朗日乘数，SPTP / MTDS分解为生产决策子问题（SPTP-PD）和分布决策子问题（SPTP-DD）。开发了基于优先级的分配启发式算法和基于部分链的遗传算法来分别求解SPTP-PD和SPTP-DD。给出了该模型在中国一家电器制造企业中的应用实例。

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