Quality and pricing decisions in production/inventory systems

被引:18
|
作者
Jalali, Hamed [1 ]
Carmen, Raisa [2 ]
Van Nieuwenhuyse, Inneke [2 ,3 ]
Boute, Robert [2 ,4 ]
机构
[1] NEOMA Business Sch, 1 Rue Marechal Juin, F-76825 Mont St Aignan, France
[2] Katholieke Univ Leuven, Dept Decis Sci & Informat Management, Res Ctr Operat Management, B-3000 Leuven, Belgium
[3] Hasselt Univ, Res Grp Logist, B-3590 Diepenbeek, Belgium
[4] Vlerick Business Sch, Technol & Operat Management, B-3000 Leuven, Belgium
关键词
Inventory; Quality and pricing decisions; Make-to-stock; Production-marketing; Load-dependent lead time; PRODUCTION-INVENTORY SYSTEMS; LEAD TIME MANAGEMENT; PRODUCT LINE DESIGN; LOGIT CHOICE MODEL; ASSORTMENT OPTIMIZATION; DEPENDENT DEMAND; CONSUMER CHOICE; JOB SHOPS; TO-ORDER; CAPACITY;
D O I
10.1016/j.ejor.2018.06.013
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this article, we consider the impact of finite production capacity on the optimal quality and pricing decisions of a make-to-stock manufacturer. Products are differentiated along a quality index; depending on the price and quality levels of the products offered, customers decide to either buy a given product, or not to buy at all. We show that, assuming fixed exogenous lead times and normally distributed product demands, the optimal solution has a simple structure (this is referred to as the load-independent system). Using numerical experiments, we show that with limited production capacity (which implies load-dependent lead times) the manufacturer may have an incentive to limit the quality offered to customers, and to decrease market coverage, especially in settings where higher product quality leads to higher congestion in production. Our findings reveal that the simple solution assuming load-independent lead times is suboptimal, resulting in a profit loss; yet, this profit loss can be mitigated by constraining the system utilization when deciding on quality and price levels. Our results highlight the importance of the relationship between marketing decisions and load-dependent production lead times. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:195 / 206
页数:12
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