Reliable flow in forward and after-sales supply chains considering propagated uncertainty

Rezapour, Shabnam; Allen, Janet K.; Mistree, Farrokh

doi:10.1016/j.tre.2016.04.016

Cited by 11 publications

(5 citation statements)

References 92 publications

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“…The management of spare parts is a critical element in the after-sales service supply chain. Capital goods and consumer durable goods are two important product types which have a long lifetime and require after-sales services [11]. The former are high-value tangible assets used by a company as an input for producing other goods or services, and are also referred to as capital assets.…”

Section: Product and Spare Parts Characteristicsmentioning

confidence: 99%

“…In contrast, eight studies adopt the LCC measure and two studies use the TCO measure, respectively. There are four studies using other measures such as company profits of selling products and providing warranty services [11,22], profits of using spare parts inventory pooling among different companies [23], and warranty cost [24]. This observation indicates that research on spare parts inventory management should consider advanced warranty types.…”

Section: Assets Metricsmentioning

confidence: 99%

“…The second research gap is how to manage the spare parts inventory of consumer durable goods under warranty contracts. There are several existing studies focusing on this topic, such as [11,13,24,49,50]. However, these studies have various settings, focusing on different phases in the product life-cycle and considering different types of spare parts (repairables or non-repairables), while only considering basic warranties.…”

Section: Research Gaps Regarding Consumer Durable Goodsmentioning

confidence: 99%

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Spare Parts Inventory Management: A Literature Review

2021

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Spare parts are held as inventory to support product maintenance in order to reduce downtime and extend the lifetime of products. Recently, spare parts inventory management has been attracting more attention due to the “right-to-repair” movement which requires that manufacturers provide sufficient spare parts throughout the life-cyle of their products to reduce waste so as to achieve sustainability. In this review, 148 papers regarding spare parts inventory management published from 2010 to 2020 are examined. The studies are classified based on two groups of perspectives. The first group includes the characteristics of spare parts, products, inventory systems, and supply chains, while the second group focuses on the characteristics of research methodologies and topics in the reviewed studies. The novelty of this literature review is three-fold. Firstly, we focus on analyzing the supply chain structure of different inventory networks for managing spare parts. Secondly, we classify the current literature based on analytics techniques, i.e., descriptive analytics, predictive analytics, and prescriptive analytics. Finally, the research gaps in this field are discussed from the perspective of reverse logistics, consumer durable goods, inventory network structure and policy, spare parts demand pattern modeling, and big data analytics.

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Section: Product and Spare Parts Characteristicsmentioning

confidence: 99%

Section: Assets Metricsmentioning

confidence: 99%

Section: Research Gaps Regarding Consumer Durable Goodsmentioning

confidence: 99%

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Spare Parts Inventory Management: A Literature Review

2021

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“…In today's highly competitive markets, products manufactured by rivals become almost homogeneous from quality and price perspectives. In such markets, to differentiate from rivals and to leverage competition capabilities, an increasing number of companies try to provide better pre- and after-sales services for their customers (Penttinen & Palmer, 2007; Johnson & Mena, 2008; Bijvank et al, 2010; Rezapour & Farahani, 2014; Rezapour et al, 2016a, 2016b; Hasani & Khosrojerdi, 2016; Mohammaddust et al, 2017; Rezapour et al, in press). This marketing strategy has been called “servitization” in the literature (Vandermerwe & Rada, 1988).…”

Section: Introductionmentioning

confidence: 99%

Reliable flow in stochastic supply networks servicing pre- and after-sales markets

Rezapour

Allen

Mistree

2017

AIEDAM

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In this paper we consider a company including both a forward supply chain producing and supplying products to markets and an after-sales supply chain providing spare parts to fulfill its after-sales commitments. Uncertainty in estimating product demand in the premarkets and spare parts demands in the after-sales markets and qualified outputs of production facilities throughout these two chains are considered in this problem. Stochastic qualified outputs of these facilities are due to their imperfect productions systems. We show that uncertainties propagate and qualified flow depreciates by moving material, components, and products from upstream to the downstream of these supply chains, and these phenomena should be quantified to determine the service levels of this company in the pre- and after-sales markets. At the end, we propose a mathematical model determining the best marketing strategies for this company (i.e., price, warranty length, and service levels) in the markets and their preserving reliable flow dynamics throughout the chains’ networks. Finally, the model is tested on a test problem defined in engine industry and some managerial insights are provided by analyzing the results.

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“…They proposed a stock and price induced demand and found that the stock elasticity plays an important role in contract selection problem. Rezapour et al [41] proposed an integrated mathematical model to coordinate manufacturers and merchandisers of the pre-and aftersales operations considering price and warranty sensitive stochastic demand. A manufacturer-retailer supply chain considered by Lin [30] analyzing price promotion taking into account the reference price effects of consumers.…”

mentioning

confidence: 99%

Optimal pricing and advertising decisions with suppliers' oligopoly competition: Stakelberg-Nash game structures

Naimi-Sadigh¹,

Chaharsooghi²,

Mozafari³

2021

Journal of Industrial &Amp; Management Optimization

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This paper addresses the coordination of pricing, advertising, and production-inventory decisions in a multi-product three-echelon supply chain composed of multiple suppliers, single manufacturer, and multiple retailers. The demand of each product is considered to be non-linearly influenced by the retail price and advertising expenditure. Taking into account the dominant power of the manufacturer and the suppliers' oligopoly competition, this paper aims at obtaining the equilibrium prices at each level of the supply chain and comparing two different scenarios of competitions and cooperation: The former focuses on the situation where the single manufacturer has the dominant power in the supply chain and acts as the leader followed by the retailers and the suppliers simultaneously. The latter implies the situation in which the dominant manufacturer enters cooperation with each independent retailer to boost sales while the suppliers play the role of the followers simultaneously. We develop the Stackelberg-Nash game (SNG), and the Stackelberg-Nash game with cooperation (SNGC) formulations to model the two market structures. The equilibrium decisions are achieved through the optimization methods and the existence and uniqueness properties are explored. Finally, analytical and computational analyses are carried out through a numerical example, and a comprehensive sensitivity analysis is conducted to discuss some managerial insights such as increasing competition among suppliers leads to reducing retail prices.2010 Mathematics Subject Classification. Primary: 91B25, 91A12, 91A40; Secondary: 90B60, 90B30, 90B05.

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Reliable flow in forward and after-sales supply chains considering propagated uncertainty

Cited by 11 publications

References 92 publications

Spare Parts Inventory Management: A Literature Review

Spare Parts Inventory Management: A Literature Review

Reliable flow in stochastic supply networks servicing pre- and after-sales markets

Optimal pricing and advertising decisions with suppliers' oligopoly competition: Stakelberg-Nash game structures

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