The logistics impact of a mixture of order-streams in a manufacturer-retailer system

被引:13
作者
Iyer, AV
Jain, A
机构
[1] Purdue Univ, Krannert Grad Sch Management, W Lafayette, IN 47907 USA
[2] Univ Washington, Sch Business, Seattle, WA 98195 USA
关键词
queues with multiple arrival processes; retail promotions; stochastic inventory/production systems;
D O I
10.1287/mnsc.49.7.890.16378
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We model a supply chain with two retail warehouses that place replenishment orders with a common manufacturing capacity. The two,retailers differ in the variability of their order-streams. The order-stream from one retail warehouse is modeled as a Poisson process and from the other as a hyperexponential renewal process. Each retail warehouse uses a base-stock policy to place replenishment orders with, the manufacturer. The manufacturer is modeled as a first-come-first-serve, single exponential server queue. We analyze the supply-side impact of this mixture of order-streams received by the manufacturer on both retailers. An exact analysis of this base-model generates closed-form expressions for distributions of the. lead-time, outstanding orders, and expected inventory. costs for each retailer, and leads to comparative results about the two retailers' performance measures. The base-model is extended to accommodate finished goods at the manufacturer, more than two,, retailers, and bulk-arrivals. We use the model to suggest managerial insights about the impact of the presence of a high-variability retailer on other retailers who share capacity, the distorting impact of manufacturer finished goods inventory on retailer incentives, and the incentives for retailers to participate in variability-reduction programs in the grocery industry.
引用
收藏
页码:890 / 906
页数:17
相关论文
共 43 条
[1]   DELAYS FOR CUSTOMERS FROM DIFFERENT ARRIVAL STREAMS TO A QUEUE [J].
ALBIN, SL .
MANAGEMENT SCIENCE, 1986, 32 (03) :329-340
[2]   APPROXIMATING A POINT PROCESS BY A RENEWAL PROCESS .2. SUPERPOSITION ARRIVAL PROCESSES TO QUEUES [J].
ALBIN, SL .
OPERATIONS RESEARCH, 1984, 32 (05) :1133-1162
[3]  
[Anonymous], OPER RES
[4]  
[Anonymous], J OPERATIONS MANAGEM
[5]  
[Anonymous], 1993, VALUE EXCHANGE CONSU
[6]   THE DISTRIBUTIONAL LITTLES LAW AND ITS APPLICATIONS [J].
BERTSIMAS, D ;
NAKAZATO, D .
OPERATIONS RESEARCH, 1995, 43 (02) :298-310
[7]  
Cachon G., 1997, Production and Operations Management, V6, P266, DOI 10.1111/j.1937-5956.1997.tb00430.x
[8]   Capacity allocation using past sales: When to turn-and-earn [J].
Cachon, GP ;
Lariviere, MA .
MANAGEMENT SCIENCE, 1999, 45 (05) :685-703
[9]   Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information [J].
Chen, F ;
Drezner, Z ;
Ryan, JK ;
Simchi-Levi, D .
MANAGEMENT SCIENCE, 2000, 46 (03) :436-443
[10]   Optimal policies for multiechelon inventory problems with Markov-modulated demand [J].
Chen, FR ;
Song, JS .
OPERATIONS RESEARCH, 2001, 49 (02) :226-234