Third-party remanufacturing mode selection: Outsourcing or authorization?

Many original equipment manufacturers (OEMs) allow third-party remanufacturers (3PRs) to perform remanufacturing operations of branded or patented products – through either outsourcing or authorization. This study compares these two modes by modeling the game between the OEM and the 3PR on equilibrium quantities, prices, and profits. The results suggest that when consumers perceive the remanufactured products with a low value, the 3PR prefers the authorization approach; otherwise the 3PR prefers the outsourcing approach. However, in both scenarios, the OEM obtains higher profit through outsourcing than through authorization. Our further analysis compares two modes’ impacts on consumer surplus, social welfare, and environment.     

再制造系统最优合同设计

再制造工程的经济、环保、自然资源节约以及缓解就业压力等方面的作用,已经在工业发达国家得到充分的证实。在分散决策的情况下,由零售商进行废旧品回收的模式是最优的,但与集中决策的供应链绩效相比还表现出一定的低效率或不效率。本文在比较分散决策与集中决策供应链绩效的基础上,对分散决策模型进行优化改进,设计最优激励合同,以提高实际分散决策的绩效,为工业实践提供理论指导最后指出了未来的研究方向。     

再制造逆向物流网络设计的多目标优化模型

逆向物流是物流领域的新视野,它不仅强调对废旧品的回收利用,更强调实现节约资源、保护环境和增强竞争力等目标.针对再制造逆向物流网络设计问题,在考虑废旧产品回收数量不确定的情况下,基于混合整数规划方法,建立了一个多目标的再制造逆向物流网络优化设计模型.模型以最小化网络设施总建设费用和最小化所建设施对居民产生的负效用为目标,...     

A production/remanufacture model with returns’ subassemblies managed differently

This paper considers a production-remanufacturing inventory model for a single product, where constant demand is satisfied from the inventory of newly produced and remanufactured items. Although the available models in the literature imply that collected used units (or returns) are disassembled for recovery purposes, these models really do not treat them as such. Contrary, the returns are assumed to be recovered as whole units, perhaps, for simplicity. This assumption may not capture the benefits reaped from product recovery programs. This paper addresses this limitation in the literature and assumes that each unit of a used product is collected and disassembled into components, where these components are sorted into subassemblies, which are fed back into the production-remanufacturing process. The returned subassemblies are remanufactured and reassembled to represent a second source of as-good-as-new units of the end-product. For this multi-component inventory problem, the question that needs to be answered is whether, or not, extreme strategies of either pure remanufacturing or pure production are more economical than a mixed strategy (one that combines both strategies). A mathematical model is developed that accounts for the inventories of subassemblies. The results suggested that not accounting for the disassembled components of a product leads to inappropriate inventory decisions that are not environmentally sound.     

An inventory control model with consideration of remanufacturing and product life cycle

This paper investigates inventory control policies in a manufacturing/remanufacturing system during the product life cycle, which consists of four phases: introduction, growth, maturity, and decline. Both demand rate and return rate of products are random variables with normal distribution; the mean of the distribution varies according to the time in the product life cycle. Closed-form formulas of optimal production lot size, reorder point, and safety stock in each phase of the product life cycle are derived. A numerical example is presented with sensitivity analysis. The result shows that different inventory control policies should be adopted in different phases of the product life cycle. It is also found that the optimal production lot size and reorder point are not sensitive to the phase length and the demand changing rate.     

基于回收不确定的闭环供应链优化模型

采用由制造商、供应商和第三方回收商构成的具有分销、再制造和再利用功能的闭环供应链,研究了回收价格和初期投入不确定情况下的再制造渠道选择问题。参照基础平衡模型,对废旧品回收过程中再制品和新产品的价格、成芩和利润进行了定量分析,提出了基于回收不确定的闭环供应链优化模型,可为闭环供应链分销渠道设计和企业生产提供借鉴。     

Optimal inventory and pricing policies for remanufacturable leased products

In this paper we consider a company which leases new products and also sells remanufactured versions of the new product that become available at the end of their lease periods. When the amount of end-of-lease items in stock is not sufficient to meet the demand for remanufactured products, the firm may purchase additional cores from a third-party supplier. We develop a dynamic programming formulation for determining the optimal price of remanufactured products, and optimal payment structure for the leased products. Our objective is to maximize the discounted system-wide profit over a finite horizon. The profit function consists of revenues that are obtained from remanufactured product sales and leasing, remanufacturing and manufacturing costs, inventory holding and shortage costs. We consider a consumer choice based demand model for mapping a potential customer into one of the product segments (a remanufactured product customer or a customer for a leased product with a particular lease period) for a given price/lease payment vector. We explore several properties of the discounted profit function and provide insight on the behavior of pricing and inventory policies. We also investigate the effect of key product characteristics such as deterioration in age, cost of shortage in remanufacturable product inventory, and key market characteristics such as relative willingness-to-pay for buying a remanufactured product and relative willingness-to-pay for leasing a new product on optimal pricing policies through a computational study.     

The optimal disposition decision for product returns

We provide an analytic model for the optimal disposition decision for product returns. The manager decides which product returns to accept for processing at the remanufacturing facility, and which ones to sell immediately as-is at a salvage value. High congestion levels in the remanufacturing facility delay the sale of the remanufactured product at the secondary market, decreasing the value at which it can be sold; this may imply a more attractive salvaging option. This is particularly important for high-tech products with short life cycles, such as computers and printers. We propose a two-step policy. In the first step, the returned product’s random processing time is observed. In the second step, a disposition decision is made: if the processing time is larger than a threshold k* the product is salvaged; otherwise the product is remanufactured. We provide an approximate procedure to compute k* in industrial settings. Our numerical study demonstrates the superiority of our policy over the current industrial practice ignoring the time value of money.     

An economic production and remanufacturing model with learning effects

Managing inventory in reverse logistics has been receiving much attention in recent years. One inventory problem that has been of interest to researchers is the production and remanufacturing model, where used items are collected and remanufactured to satisfy customer demand. The available models in the literature do not discuss the learning effects in production and remanufacturing processes. This may not be true in industries where labour costs and learning costs are expensive. By modelling these learning effects, management may use established learning models to better utilize capacity, manage inventories, and coordinate production and distribution throughout the chain.This paper extends the production, remanufacture, and waste disposal model by assuming learning to occur in both production and remanufacturing processes. However, this paper also assumes that improvements due to learning require capital investment. Mathematical models are developed, numerical examples are provided, and results are discussed.     

Competitive strategy in remanufacturing and the impact of take-back laws

This paper examines the impact of take-back laws within a manufacturer/remanufacturer competitive framework. Take-back laws require that firms take responsibility for the collection/disposal costs of their products. We consider two alternative implementations of take-back laws that are distinguished by the degree of control that the manufacturer has on returns sold to the remanufacturer. In one implementation, known as collective WEEE take-back, the manufacturer has no control over returns sold to the remanufacturer. The other implementation, known as individual WEEE take-back, gives complete control to the manufacturer.We develop a general two-period model to investigate questions of interest to policy-makers in government and managers in industry. Our results suggest that, in some settings, enactment of collective WEEE take-back will result in higher manufacturer and remanufacturer profits while simultaneously spurring remanufacturing activity and reducing the tax burden on society. A negative effect is higher consumer prices in the market. In other settings, we find that collective WEEE take-back introduces a structural change to the industry—creating an environment where remanufacturing becomes profitable when it is not profitable without a take-back law. With respect to individual WEEE take-back, we find that the manufacturer often benefits from allowing the remanufacturer to enter the market, though from a government policy-maker perspective, there are clear risks of monopolistic behavior.