Study of construction of optimal production and distributio systems based on JIT philosophy

准时化生产系统的特点是：1.顺序式提货后补货生产系统，简称Pull系统，适用于多品种小规模生产；2.自主式分散式生产系统；3.通过持续改进和改进活动彻底消除浪费的机制；4.多功能工人和U型生产线。在Pull系统中，生产和退出过程中用看板或e-看板取代电子信息进行通信和控制。然而，在这些日子里，IT是先进的，包括电子看板在内的看板系统被减少为浪费。在这项研究中，我们试图构建一个不确定环境下的最优生产和分销系统，它利用上述特征，除了第一个作为JIT的哲学。针对基于JIT理念的最优生产与配送系统的构建，阐述了以下三点：1.将马尔可夫决策过程与强化学习与仿真技术相结合，开发了一种神经DP算法，在不使用看板的情况下，确定了多项目、多阶段生产与配送系统的最优生产与退出策略。将排队论与仿真有机结合，开发出适应客户需求多样化、产品生命周期短的各类单元生产系统的性能评价算法。开发实用的元启发式算法来解决物流中的基本问题，例如三维布局问题和车辆路线问题，以实现基于JIT理念的最优配送系统。

The features of the Just-In-Time production system are as follows :1. the sequenced withdrawal and later-replenishment production system, which is called shortly the pull system and is adapted to multi-item small-sized production,2. the autonomous decentralized production system,3. the mechanism of thorough elimination of waste by continuous improvement and the improvement activity,4. multi-function workers and a U-shaped production line.In the pull system, Kanbans or e-Kanbans replacing then by electronic information are used for communication and control in production and withdrawal. In these days, however, IT is advanced and the Kanban system that includes e-Kanbans is reduced to waste. In this study, we attempt to construct an optimal production and distribution system under uncertain environments that utilizes the above features except the first as the JIT philosophy. The following three points are clarified for construction of the optimal production and distribution systems based on the JIT philosophy :1. Development of a Neuro DP algorithm that determines an optimal production and withdrawal policy in a multi-item, multi-stage production and distribution system without using Kanbans by combining the Markov decision process with reinforce learning and simulation technique.2. Development of performance evaluation algorithms of carious types of cell production systems, which are adapted to diversification of customer demand and a short product life cycle, by organically combining queueing theory with simulation.3. Development of practical meta-heuristics for basic problems in logistics, e.g. three-dimensional packing problems and vehicle routine problems, to attain optimal distribution systems based on the JIT philosophy.