A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns

Traditionally, product returns have been viewed as an unavoidable cost of doing business, forfeiting any chance of cost savings. As cost pressures continue to mount in this era of economic downturns, a growing number of firms have begun to explore the possibility of managing product returns in a more cost-efficient manner. However, few studies have addressed the problem of determining the number and location of centralized return centers (i.e., reverse consolidation points) where returned products from retailers or end-customers were collected, sorted, and consolidated into a large shipment destined for manufacturers’ or distributors’ repair facilities. To fill the void in such a line of research, this paper proposes a nonlinear mixed-integer programming model and a genetic algorithm that can solve the reverse logistics problem involving product returns. The usefulness of the proposed model and algorithm was validated by its application to an illustrative example dealing with products returned from online sales.     

基于网络外部性的规模收益与产品差异化

通过构造一个纵向产品差异化的两阶段模型(先决定产品质量再决定产量) ,研究了当产 品具有网络外部性特征时,其规模收益特征对企业的产品质量差异度、利润、产品价格和需求 等因素的影响. 然后对产品的规模收益递增和递减两种情况作了比较分析并得出相应的结论. 研究表明,当不考虑网络外部性时递减规模收益假设下产品的质量(不论是高质量还是低质 量) 都要低于递增规模收益情形;而考虑网络外部性时递减规模收益假设下的高质量要远大于 递增规模收益假设下的质量;递减规模收益假设下的市场需求都要低于递增规模收益假设下 的市场需求,这与产品是否具有网络外部性特征无关.     

Optimal Policies for Recovering the Value of Consumer Returns

This study characterizes the class of Pareto optimal returns policies between a manufacturer and a retailer who receives consumer returns. The manufacturer may take a costly hidden action that reduces the expected number of products returned by consumers, which when realized is hidden information known only to the retailer. When faced with consumer returns, the retailer must decide whether to send the product back to the manufacturer, who harvests a low salvage value, or to engage in costly refurbishment that permits the returned product to be resold to consumers. We find that the optimal returns policies may be implemented through the payment by the manufacturer of a full refund to the retailer of the wholesale price for any returns as well as a bonus paid to the retailer that is decreasing in the number of returns to the manufacturer.     

Relationship between Online Retailers’ Reputation and Product Returns

Customer product returns are key cost drivers that eat into online retailers’ profits. However, management research has neglected to examine ways of reducing return rates without causing a concomitant decrease in sales. Drawing from signalling and dissonance theories, we investigate the relationship between online retailers’ reputation and product return rates. Two experiments designed to produce causal conclusions show that reputation reduces return rates (Studies 1 and 2) and that return motivation is a boundary condition for that relationship (Study 2). A field study based on an online consumer panel demonstrates the robustness of the negative impact of online retailer reputation on product returns in a setting that emphasizes external validity (Study 3), in comparison with Studies 1 and 2, which maximize internal validity. Study 3 also examines managerially important contingencies of the causal relationship by considering three variables: purchase frequency; retailer type; and customer gender. Overall findings indicate that an online retailer's reputation is a powerful means of reducing product return rates. The findings also show that the strength of the relationship between reputation and product returns is influenced by return motivation and the three variables investigated in the field study.     

Lot Sizing for Optimal Collection and Use of Remanufacturable Returns over a Finite Life‐Cycle

Reverse supply chains process used product returns to recover value by re‐processing them via remanufacturing operations. When remanufacturing is feasible, the longer the return flows are delayed during the active (primary) market demand period of the product, the lower the value that can be recovered through these operations. In fact, in order to recover the highest value from remanufactured products, the collection rates, return timings, and reusability rates should be matched with the active market demand and supply. With these motivations, this paper is aimed at developing analytical models for the efficient use of returns in making production, inventory, and remanufacturing decisions during the active market. More specifically, we consider a stylistic setting where a collector collects used product returns and ships them to the manufacturer who, in turn, recovers value by remanufacturing and supplies products during the active market demand. Naturally, the manufacturer's production, inventory and remanufacturing decisions and costs are influenced by the timing and quantity of the collector's shipments of used product returns. Hence, we investigate the impact of the timing of returns on the profitability of the manufacturer‐collector pair by developing system‐wide cost optimization models. Analyzing the properties of the optimal shipment frequency, we observe that the fastest reverse supply chain may not always be the most efficient one.     

Closed‐Loop Supply Chains: A Critical Review,and Future Research*

In this article, I present a review and tutorial of the literature on closed‐loop supply chains, which are supply chains where, in addition to typical forward flows, there are reverse flows of used products (postconsumer use) back to manufacturers. Examples include supply chains with consumer returns, leasing options, and end‐of‐use returns with remanufacturing. I classify the literature in terms of strategic, tactical, and operational issues, but I focus on strategic issues (such as when should an original equipment manufacturer (OEM) remanufacture, response to take‐back legislation, and network design, among others) and tactical issues (used product acquisition and disposition decisions). The article is written in the form of a tutorial, where for each topic I present a base model with underlying assumptions and results, comment on extensions, and conclude with my view on needed research areas.     

Manufacturing network configuration in supply chains with product recovery

Efficient implementation of product recovery requires appropriate network structures. In this paper, we study the network design problem of a firm that manufactures new products and remanufactures returned products in its facilities. We examine the capacity decisions and expected performance of two alternative manufacturing network configurations when demand and return flows are both uncertain.     

Redistributing food manufacturing: models for the creation and operation of responsive and agile production networks

Abstract

The food industry is a mature industry where its profit margins are thin and its R&D failure rate for new products is substantial. Both facts indicate that decent return on development investment cannot be provided and that the food industry cannot still rely on its traditional way of thinking and innovating. New product development cycles should involve not only the product itself but also the entire manufacturing and distribution network. Hence, collaborative manufacturing and servitization models are key elements for the rapid transformation of the new food industry. Moreover, recent developments in technology have the potential to shift manufacturing production away from large scale manufacturing plants to a network of distributed, smaller scale localized and customizable manufacturing facilities. Such a network is the crucial enabler for the on-demand manufacture of new or even, existing food products to rapidly respond to the consumers´ demands.     

Offshore Remanufacturing with Variable Used Product Condition

We consider the acquisition and production decisions of a remanufacturer who acquires used products of variable condition and allocates remanufacturing activity to domestic and offshore facilities. The problem is formulated as a multicommodity network flow model with economies of scale and product obsolescence. We show that the remanufacturer's optimal strategy can be chosen from a finite set of simple policies in which each product is routed to a facility based on its condition. We then numerically investigate the impact of key parameters on optimal decisions regarding offshore remanufacturing.     

The Impact of Product Returns and Retailer's Service Investment on Manufacturer's Channel Strategies*

We study the distribution channel decision of a manufacturer who considers whether to add an online channel (direct channel) to its brick‐and‐mortar retailer (indirect channel). The retailer faces the opportunity to invest in store assistance to help consumers choose products and thus reduce product returns. Special attention is given to the impact of product returns and retailer's store assistance investment on manufacturer's dual channel decision. We examine conditions under which the manufacturer uses dual channels and how various relevant factors affect its channel decision under two settings, depending on whether the retailer has its own online store or not. When the retailer does not have its online store, we find that (i) the addition of the direct channel raises the wholesale price; (ii) the direct channel addition hurts the retailer if the nonreplacement rate is low; (iii) the manufacturer has a lower incentive to add the direct channel when the retailer's service cost is lower or its returns reduction rate from service investment is higher; and (iv) the manufacturer should treat its own returns handling cost as a key factor in its channel structure decision. In addition, when the retailer operates an online store, we find that the manufacturer may have an incentive to add a direct channel such that both firms own direct channels.     

Correct accounting for duty drawbacks with outward and inward processing in global production networks

We develop a new model for the correct accounting of customs duties levied on a product. We examine inward and outward processing – that is, processed components can be either imported or produced in a foreign country – in the strategic planning of a global production network. This complex modeling problem is structured with path variables, and the duty drawbacks can be simultaneously and correctly entered for n production stages in m market regions (with corresponding duty regions) for all products with a maximum n-level bill of materials. We present a case study from the automotive industry to examine whether or not the possibility of future duty rate changes or free trade agreements, such as one between the United States and the European Union, could affect the design of a production network and hence should be considered in strategic planning. We show that correctly accounting for duty drawbacks can lead to changes in the global footprint of production. We also demonstrate that intercontinental trade barriers (in the form of duties) diminish working capital and entail longer delivery routes. Eliminating these political trade barriers could increase the returns to capital while reducing both delivery lead times and environmental costs.     

MANAGING PRODUCT RETURNS FOR REMANUFACTURING

Firms are often encouraged to offer environmentally friendly products as a demonstration of corporate citizenship. However, this may prove to be an unrealistic expectation since a rational firm will only engage in profitable ventures; those that increase shareholder wealth. We develop a framework for analyzing the profitability of reuse activities and show how the management of product returns influences operational requirements. We show that the acquisition of used products may be used as the control lever for the management and profitability of reuse activities. These activities, termed product acquisition management, affect several important business decisions. First, if a firm is to pursue reuse activities, these reuse activities must be value‐creating. Second, if a firm is to compete by offering remanufactured products, then we show how product returns management influences the overall profitability of such activities via a trial and error EVA approach. Third, we show how operational issues are strongly affected by the approach used to manage product returns. There is a need for future research specifying the mathematical relationship between acquisition price and the nominal quality of the returned product.     

A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design

Various types of healthcare waste (or medical waste) generated by urban healthcare activities have increased due to the expansion of urban population and medical needs. As healthcare wastes are harmful to both the environment and human health, managing medical waste is becoming progressively more important. Constructing an optimized medical waste recycling network is one of the key problems in the management of urban healthcare waste. This paper conducts a two-stage reverse logistics network design for urban healthcare waste. The first stage involves the prediction of the amount of medical waste. Based on the Grey GM(1,1) prediction model, the amount of medical waste in multi-period of the target hospitals is predicted. In the second stage, a multi-objective model aimed at minimizing operating costs and minimizing environmental impact is developed for facilities allocation decisions, which include the configuration of key facilities such as hospitals, collection centers, transshipment centers, processing centers, and disposal sites, as well as medical waste flow control among facilities. A dynamic approach for the healthcare waste reverse logistics network is constructed by combining the Grey GM(1,1) prediction method with multi-objective optimization model. Sensitivity analysis of key parameters has been performed to analyze their impact on network performance. Some insightful management practices have been revealed.

     

基于网络外部性的绿色制造策略研究

根据消费者的绿色偏好以及产品的网络外部性特征构建消费者效用函数,在此基础上,对供应链的制造策略进行分析。首先,利用逆向归纳法获得了Stackelberg均衡,并证明了产品的网络外部性对供应链成员收益存在正向影响。其次,利用比较分析法给出了制造商实施绿色制造策略的条件。然后,对信息不对称模型进行研究发现,当制造商对绿色产品网络外部性的估计满足一定条件时,零售商的信息共享策略对制造商和零售商都有利。最后,将模型拓展到混合制造策略下,并通过数值方法,讨论了各种参数变化带来的影响。所得结论对企业绿色制造决策具有重要的参考价值。     

Returns Policy and Quality Risk in E‐Business

In this article, we investigate the interplay between returns policy, pricing strategy, and quality risk. We define quality risk as the possibility of product misfit, defect, or unconformity with the consumers’ perception. These notions of quality risks differ in return policy restriction, residual values, and whether it is possible to unambiguously reduce the probability of mismatch. Using a stylized two‐segment market setting, we demonstrate that consumer returns are offered only when the high‐segment consumers incur a higher hassle cost, and both the quality risk and the valuation of the low segment are moderate. Moreover, it is possible to wisely design the returns policy that eliminates all inappropriate returns. Furthermore, the seller with a high‐quality risk may offer a refund that exceeds the selling price, which provides a theoretical ground and specific operating regime for the satisfaction guaranteed policy used in some e‐tailers. In contrast, when the quality risk is relatively low, further improvement on mitigating the quality risk may not necessarily benefit the seller. Finally, we observe that the restocking fee may be non‐monotonic in product quality; thus, a more generous returns policy does not necessarily indicate a lower quality risk.     

Der Einfluss von Neuproduktvorankündigungen auf den Shareholder Value: Eine empirische Untersuchung

This paper analyses 220 preannouncements of new products and their effect on shareholder value on American and European stock markets. Overall, the results show a positive significant reaction of abnormal returns on preannouncements. Additionally, determinants of the strength of the shareholder value effect are analyzed. Whereas market-related (country and industry) and preannouncement-related factors (detailedness of preannouncement, mentioning a launch date, and the preannouncement of multiple products) do not have an influence on the size of the effect, company-related and product-related factors can explain the magnitude of the reaction. Our model extends prior empirical literature by showing a higher explained variance of the strength of the shareholder value effect. In particular, there exists a negative relationship between company size and abnormal returns and return on equity and abnormal returns, whereas the newness of the product for the market has a positive influence on abnormal returns.     

Key success factors when implementing a green-manufacturing system

This study proposes a three-layer assessment model to evaluate the performance of a green-manufacturing system (GMS) and identify the key success factors of its real-world implementation. The top layer of the model includes three dimensions – green design, green-manufacturing process and green packaging. The second and third layers include ten strategic subjects and 74 assessment factors, respectively. The weights in each layer are collected via a questionnaire and calculated using the analytical network process (ANP). Based on the ANP, the five key success factors for implementing the GMS in a company are proportion of non-toxic materials, compliance with eco-ordinances, proportion of biodegradable materials, environmental pollution per product and extent of process pollution. The practicality of the proposed model is demonstrated by evaluating three companies that produce similar products and share similar business models. The proposed model provides a valuable reference for real-world implementation of the GMS.     

Six things to manage--Designs

Transportation in reverse logistics (RL) plays a significant role and has impact on overall RL performance. Efficiency, effectiveness and impact are the distinct components of RL transportation. Balancing these components requires the implementation of an effective performance measurement (PM) system. The perspectives of balanced scorecard have been used where enterprises can link their performance to their transportation practices, which do not provide an understanding of the RL transportation operating objectives and the developing strategies through an analysis of stakeholders. This article proposes the comprehensive PM of transportation system, which is multi-angle perspective for RL enterprises. Recognising the multiple criteria nature of the problem, this article uses analytical hierarchy process methodology in order to find an overall comprehensive performance index, which is critical to the success of the RL transportation operations to assist logistics managers, researchers, transportation planners and decision-makers.     

Effective cooperation modes based on cultural and market similarities in interfirm relationships

This study explores appropriate cooperation modes based on cultural and market similarities and suggests two alliance cooperation modes: 1) contractual cooperation and 2) relational cooperation. We collected secondary data from diverse sources, including the SDC Platinum, Compustat, and CRSP databases. We examined 349 alliances in high-tech industries from 2001 to 2009. We used an event study methodology to measure abnormal stock returns associated with the announcement of an alliance because it provides a forward-looking metric of expected performance. The results show that equity sharing enhances the positive effects of cultural distance on a focal firm's returns while repeated partnership exacerbates the negative effects of product market similarities on a focal firm's returns. This research contributes to alliance literature, providing explanation for choosing an appropriate cooperation mode considering both transaction cost economics (TCE) and a resource-based view (RBV). This study suggests that the effect of a contractual or relational cooperation mode depends on the competitive or cooperating role of similarity. Additionally, our study tries to provide guidelines for managers in selecting an appropriate cooperation mode depending on the relationship characteristics of the two companies.     

Reverse logistics drivers: empirical evidence from a case study in an emerging economy

Academic and corporate interest in reverse logistics (RL) has risen considerably in recent years. In this context, the objective of this study was to identify the drivers that enable RL practice in an emerging economy. Firstly, international peer-reviewed publications on RL were used to develop a RL environment framework representing the main RL internal and external influences. Secondly, a case-based research was conducted in a large manufacturing company located in Southern Brazil. The results indicated that the most cited driver in the RL literature, the government and legislation, was not a main influence on the studied company. Environmental legislation is still limited in the country and struggles to provide incentives to increase materials recycling. An economic factor related to materials value recovery was also found to drive the backward flow. Finally, knowledge of the RL driving forces may support industries to better implement and manage reverse flows and to bridge the gap between existing and future solutions for reverse supply chains.