Production Control to Reduce Starvation in a Partially Flexible Production-Inventory System

被引:23
作者
Zhao, Cong [1 ,2 ]
Kang, Ningxuan [1 ,3 ]
Li, Jingshan [1 ]
Horst, John A. [4 ]
机构
[1] Univ Wisconsin Madison, Dept Ind & Syst Engn, Madison, WI 53706 USA
[2] NextEV, San Jose, CA 95134 USA
[3] Tsinghua Univ, Dept Ind Engn, Beijing 100084, Peoples R China
[4] NIST, Engn Lab, Gaithersburg, MD 20899 USA
基金
美国国家科学基金会;
关键词
Door manufacturing line; multiple products; partially flexible production-inventory systems; production control; MULTIPRODUCT MANUFACTURING SYSTEMS; DEPENDENT SETUP TIMES; SPLIT-AND-MERGE; SCHEDULING POLICIES; LOST SALES; PERFORMANCE EVALUATION; UNRELIABLE MACHINES; THROUGHPUT ANALYSIS; KANBAN SYSTEMS; FINITE BUFFERS;
D O I
10.1109/TAC.2017.2717940
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we study production control problems in a partially flexible production-inventory system. In such a system, the upstream flexible production subsystem can make two different products, with nonnegligible setup time during changeover. The downstream inflexible production subsystem consists of two manufacturing facilities, with each dedicated to one product type only. The two production subsystems are connected by two dedicated buffers, which comprise the inventory subsystem. Using a renewal model, an optimal control policy is developed to switch products by predefined thresholds for inventory levels to minimize starvation (idle) time of downstream productions. Closed formulas are derived, and sensitivity analyses with respect to setup time change, machine reliability variation, and demand fluctuation are carried out. Finally, an application study in a door manufacturing line at an automotive assembly plant making two distinct types of doors is introduced.
引用
收藏
页码:477 / 491
页数:15
相关论文
共 53 条
[31]   Split and merge production systems: performance analysis and structural properties [J].
Liu, Yang ;
Li, Jingshan .
IIE TRANSACTIONS, 2010, 42 (06) :422-434
[32]   EFFICIENT SCHEDULING POLICIES TO REDUCE MEAN AND VARIANCE OF CYCLE-TIME IN SEMICONDUCTOR MANUFACTURING PLANTS [J].
LU, SCH ;
RAMASWAMY, D ;
KUMAR, PR .
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 1994, 7 (03) :374-388
[33]   DISTRIBUTED SCHEDULING BASED ON DUE DATES AND BUFFER PRIORITIES [J].
LU, SH ;
KUMAR, PR .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1991, 36 (12) :1406-1416
[34]   Analysis of assembly systems controlled with kanbans [J].
Matta, A ;
Dallery, Y ;
Di Mascolo, M .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2005, 166 (02) :310-336
[35]   Late customisation: issues of mass customisation in the food industry [J].
McIntosh, R. I. ;
Matthews, J. ;
Mullineux, G. ;
Medland, A. J. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (06) :1557-1574
[36]   Queueing theory in manufacturing systems analysis and design: A classification of models for production and transfer lines [J].
Papadopoulos, HT ;
Heavey, C .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 92 (01) :1-27
[37]   Dynamic scheduling of a two-class queue with setups [J].
Reiman, MI ;
Wein, LM .
OPERATIONS RESEARCH, 1998, 46 (04) :532-547
[38]   Allocating work in process in a multiple-product CONWIP system with lost sales [J].
Ryan, SM ;
Vorasayan, J .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (02) :223-246
[39]   Production control of a pull system with production and demand uncertainty [J].
Tan, B .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2002, 47 (05) :779-783
[40]   Mathematical programming representations of the dynamics of continuous-flow production systems [J].
Tan, Baris .
IIE TRANSACTIONS, 2015, 47 (02) :173-189