| Project/Area Number |
14580474
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
社会システム工学
|
|---|
| Research Institution | Tokyo Institute of Technology |
|---|
Principal Investigator |
TSAO De-bi Tokyo Institute of Technology, Dept.of IE&Magt., Asso.Prof., 大学院・社会理工学研究科, 助教授 (30242275)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
SUZUKI Sadami Tokyo Institute of Technology, Dept.of IE&Magt., Research Associate, 大学院・社会理工学研究科, 助手 (50323811)
ENKAWA Takao Tokyo Institute of Technology, Dept.of IE&Magt., Prof., 大学院・社会理工学研究科, 教授 (70092541)
|
|---|
| Project Period (FY) |
2002 – 2003
|
| Project Status |
Completed (Fiscal Year 2003)
|
| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2003: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2002: ¥2,200,000 (Direct Cost: ¥2,200,000)
|
|---|
| Keywords | Inventory / Delivery Schedule / Reverse Logistics / IRP / VRP / MPIRP / ロジスティクス / Reverse Logistic / 他期間配送計画 |
|---|
| Research Abstract |
In this research, we broke down the main subject, Integrated Logistic System of Delivery and Pickup Planning under Stochastic Demand Condition, into five sub problems, i.e., (1) production and inventory control problem, (2) delivery scheduling problem, (3) integrated multiple periods inventory routing problem, (4) integrated delivery and pickup scheduling problem and (5) project management problem. With respect to the sub problem (1), we developed a new model dealing the stochastic demand and risk pooling inventory control model. The paper was accepted by Naval Research Logistics. For the sub problem (2) we developed a new method to evaluate cost increase when we increase delivery numbers for each retailer. Our method can reduce the time of grouping process of the delivery schedule more than 50 percent compare to traditional TSP approach. With respect to the sub problem (3), we developed several model and applications for one truck problem, with and without time window constraints. These research outcomes were submitted to international journals and some of them are under reviewing and others are accepted to publish. For the sub problem (4), we carried out a smart modeling as well as the algorithm using Tabu search approach. Our model out performs compared to current MPIRP model. An academic research paper was submitted to operations research spectrum. Finally, we also developed project management models for the implementation process of the models concerning above sub problems (1)-(4). Four papers were published or accepted for publication (see details in reference lists)
|
