133 research outputs found

    Strategic Remanufacturing Decision in a Supply Chain with an External Local Remanufacturer

    Get PDF
    This paper develops a model for remanufacturing decisions in a two-stage supply chain with one manufacturer, one retailer and one external local remanufacturer, who collects used products and then reproduces them into a new one if the manufacturer does not join in remanufacturing process. This paper is different from most of the extant studies about remanufacturing because they consider decisions of firms rather than supply chains. We mainly focus on the remanufacturing strategy of the manufacturer when there is a local remanufacturer. We derive the equilibrium results for all players and do some comparative studies under different cases. We find that product substitutability can invert the effect of manufacturerโ€™s extension decision on the retailerโ€™s profit. We also consider the effect of channel structure by comparing the decentralized channel with the centralized channel. We find that the manufacturer has a higher incentive to extend its product line in the centralized channel than the decentralized channel; and the competition can strengthen its motivation to extend the line

    Analysis of the Supply Chain Disruption Risks in the Malaysian Automotive Remanufacturing Industry- a Case Study

    Get PDF
    Remanufacturing has now become one of the effective strategies for reducing the negative impact on the environment by prolonging the productsรขโ‚ฌโ„ข life cycle in the automotive sector. Still considered as a relatively new industry in Malaysia, the low remanufacturing rate coupled with the lack of standardization are thus seen as causing a high inclination of disruption occurrences in the remanufacturing operations. As such, this paper had identified and investigated the existing disruptions in four problematic areas, namely the production planning, infrastructure facilities, distribution networking and inventory management of the automotive remanufacturing firms in Malaysia. From the SPSS analysis and calculation of the mean and standard deviation values on the semi-structured interviews that were conducted in three remanufacturing companies, the highest contributor to the disruption risks was found to have resulted from the difficulty in obtaining the spare parts components in the production planning process. By also exploring the awareness level on environmental sustainability and the significance of remanufacturing processes among the remanufacturer companies, this analysis is thus deemed useful for not only identifying suitable actions that can be taken for mitigating the various risks faced by the automotive remanufacturers in Malaysia, but also in solving the disruptions of the remanufacturing supply chain system

    Optimal Decision Making for Capacitated Reverse Logistics Networks with Quality Variations

    Get PDF
    Increasing concerns about the environmental impact of production, product take-back laws and dwindling natural resources have heightened the need to address the impact of disposing end-of-life (EOL) products. To cope this challenge, manufacturers have integrated reverse logistics into their supply chain or chosen to outsource product recovery activities to third party firms. The uncertain quality of returns as well as uncertainty in return flow limit the effectiveness of planning, control and monitoring of reverse logistics networks. In addition, there are different recovery routes for each returned product such as reuse, repair, disassembling, remanufacturing and recycling. To determine the most profitable option for EOL product management, remanufacturers must consider the quality of returns and other limitations such as inventory size, demand and quantity of returns. The work in this dissertation addresses these pertinent aspects using two models that have been motivated by two remanufacturing facilities whereby there are uncertainties in the quality and quantity of return and capacitated inventories. In the first case, a disposition decision making model is developed for a remanufacturing process in which the inventory capacity of recoverable returns is limited and where there\u27s a constant demand to be met, for remanufactured products that meet a minimum quality threshold. It is assumed that the quality of returns is uncertain and remanufacturing cost is dependent on the quality grade. In this model, remanufacturing takes place when there is demand for remanufactured products. Accepted returns that meet the minimum quality threshold undergo the remanufacturing processes, and any unacceptable returns are salvaged. A continuous time Markov chain (CTMC) is presented as the modeling approach. The Matrix-Geometric solution methodology is applied to evaluate several key performance metrics for this system, to result in the optimal disposition policy. The numerical study shows an intricate trade-off between the acceptable quality threshold value and the recoverable product inventory capacity. Particularly, there are periodic system starvation whenever there is a mis-match between these two system metrics. In addition, the sensitivity analysis indicates that changes to the demand rate for remanufactured products necessitates the need to re-evaluate the existing system configuration. In the second case, a general framework is presented for a third party remanufacturer, where the remanufacturer has the alternative of salvaging EOL products and supplying parts to external suppliers, or remanufacture the disassembled parts to \u27as new\u27 conditions. The remanufacturing processes of reusable products and parts is studied in the context of other process variables such as the cost and demand of remanufactured products and parts. The goal of this model is to determine the return quality thresholds for a multi-product, multi-period remanufacturing setting. The problem is formulated as a mixed integer non-linear programming (MINLP) problem, which involves a discretization technique that turns the problem turns into a quadratic mixed integer programming (QMIP) problem. Finally, a numerical analysis using a personal computer (PC) remanufacturing facility data is used to test the extent to which the minimum acceptance quality threshold is dependent on the inventory level capacities of the EOL product management sites, varying operational costs and the upper bound of disposal rate

    Stakeholder considerations in remanufacturability decision-making : findings from a systematic literature review

    Get PDF
    Remanufacturing is a sustainable product recovery strategy with environmental, economic and social benefits. Remanufacturability assessment, the process of deciding whether or not to remanufacture an end-of-life or end-of-use product, is complex and has a high level of uncertainty. Several tools and methods have been proposed to reduce this complexity without compromising the effectiveness and inclusiveness of the process. However, there is a lack of comprehensive review of the decision factors and how they fulfil the requirements of different stakeholders that are critical to the success of remanufacturing systems. This study fills the gap by performing a systematic literature review of decision factors with the aim of understanding how the requirements of stakeholders have been accounted for in remanufacturability decision-making. Decision factors that have been used to represent the different stakeholders were identified and discussed. Findings revealed the lack of research on including consumer requirements in remanufacturability decision-making. Future research should focus on bridging the gap between consumers and other stakeholders, especially during the remanufacturability decision-making process. The novelty is that this is the first study that comprehensively reviews decision factors in remanufacturability assessment from the perspectives of the different stakeholders and provide insights on the impact of consumer requirements on remanufacturability decision-making

    Pre-processing inspection โ€“ a worthwhile activity for remanufacturers

    Get PDF
    Remanufacture, a process to return used product to an "as-new" condition with an equivalent quality, is typically carried out on complex mechanical assemblies as the remaining value in the used product is high. Remanufacturing is often a more efficient reuse strategy than recycling as, in addition to the reduction in landfill and the use of virgin material, it also reduces the amount of energy used in successive applications by removing raw material production and any subsequent manufacturing processes, thus increasing profitability for the remanufacturer. There remain barriers to remanufacturing particularly around the paucity of research into the field. Guide identified that remanufacturers perceive the scarcity of effective remanufacturing tools and techniques as a key threat to the industry. Ijomah quantified these key characteristics on a five-point scale ranging from "Not Significant through to "Critical". The only characteristic rated "critical" by remanufacturers was component inspection. Personal experience and observation of the remanufacturing process has shown that this remanufacturing sub-activity, although it can have significant bearing on overall productivity, is undertaken in a hap-hazard manner based almost purely on experience and guesswork and lacks proper methodologies and tools. This paper presents the results of quantitative doctoral research, conducted in a Caterpillar Remanufacturing UK facility, to establish the relationship between pre-processing inspection and the subsequent remanufacturing process time for returned used products known as cores. It concludes that for components (i.e. cores) having either complex geometry (such as internal ports), a large number of sub-components or that are constructed from, or comprising of, multiple materials, the remanufacturing process is shortened by increased inspection prior to processing. However, these benefits are currently limited by the amount of information that can be gained from the inspection methods used. It describes the practical use of these factors in a decision-making methodology for inspection

    Structural and Pricing Decisions in Manufacturing/Remanufacturing Systems with Vertically Differentiated Products

    Get PDF
    This research encompasses three related papers to address some of the influencing factors in structural and pricing decisions in supply chains with manufacturing and remanufactunng. We consider new and remanufactured products that are vertically differentiated, that is, the consumers perceive the remanufactured product as of a lower quality and thus they are not willing to pay for them as much as they would for the new product. Examples of such products are seen in computer systems, automotive parts and office equipment. In the first paper, we consider a closed loop supply chain that includes a manufacturer, a remanufacturer and a retailer. We investigate the pricing decisions for the new and remanufactured products under different coordination structures between members of the chain while taking into account the consumersโ€™ perception of the remanufactured product versus new and the quality of returns as two major parameters. In addition, we find which coordination structure is a better option for the closed loop supply chain members. Particularly, we find that although a lower price is charged for the new product when the retailer and the remanufacturer are coordinated (RREMC) compared to the completely decentralized (CD) structure, a higher number of new products are sold in the completely decentralized structure. A similar result is found for the remanufactured product when comparing the CD structure with the one in which the retailer and manufacturer are coordinated (MRC). We also find that MRC results in the highest total profit while RREMC results in the lowest. In the second paper, we analyze the pricing decisions for a firm that produces both new and remanufactured products and also collects the used product returns (known as cores, which are used in remanufacturing). The firm needs to define the core acquisition price as well as the selling prices for both new and remanufactured products. In our models, we capture the quality of returns (by assuming a stochastic collection yield rate) and the competition between new and remanufactured products, and show how they influence the optimal expected prices and profit of the firm. We provide managerial insight on how varying the optimal prices could help the firm optimally accommodate for different conditions (i.e. with respect to changes in the consumersโ€™ perceptions of the products, the yield rate, and the salvage value of the cores). For example, we find that when the firm sells low margin products, a small change in the consumersโ€™ perception of the remanufactured products versus new could increase the firmโ€™s expected profit by more than 10%. Finally, in the third paper, we consider two core collection structures for a firm that produces both new and remanufactured products. In the first structure (known as the centralized channel), the firm collects the cores directly from the consumers, while in the second structure (known as the decentralized channel), the firm uses a third-party collector to take care of the core acquisition We assume that the demands for new and remanufactured products are influenced by the product prices and also by a stochastic component. We jointly find the optimal prices and lot sizes for each product and investigate the impact of the competition between products (i.e. consumersโ€™ perception of the remanufactured product versus new), the quality of returns (i.e. the collection yield rate) and the demand uncertainties on the optimal solution in each channel. Furthermore, we compare the channels on the amount of change in their optimal values and expected profits with respect to changes in the parameters We also provide managerial insight on how the firm should change the optimal prices and lot sizes in each channel considering possible changes in the consumersโ€™ perception of the products, the collection yield rate and the demand uncertainties. For example, we find that when the demand uncertainties for the new and remanufactured products are higher, the reduction in the firmโ€™s profit is about 2-3% less in the centralized channel compared to the decentralized one

    ํŒ๋งค์ด‰์ง„์„ ๋„์ž…ํ•œ ์ˆ˜์š” ๋ถˆํ™•์‹ค์„ฑ ์žฌ๊ณ ๊ด€๋ฆฌ ๋ชจํ˜•

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2020. 8. ๋ฌธ์ผ๊ฒฝ.As the globalization of markets accelerates competition among companies, sales promotion, which refers to short-term incentives promoting sales of products or services, plays a prominent role. Although there are various types of sales promotions, such as price reduction, buy-x-get-y-free, and trade-in program, the common purpose is to induce the purchase of customers by offering benefits. This successful strategy has caught the attention of researchers, including operations management and supply chain management. Thus, various studies have been conducted to examine strategies for ongoing operations and to demonstrate the effects of the sales promotion, which are based on the strategic level. However, research at the tactical or operational level has been conducted insufficiently. This dissertation examines the inventory models considering (i) markdown sale, (ii) buy one get one free (BOGO), and (iii) trade-in program. First, the newsvendor model is considered. By introducing the decision variable, which represents the start time of markdown sale, the retailer can obtain the optimal combination of the start time of a markdown sale and an order quantity. Under certain conditions in a decentralized system, however, the start time of a markdown sale where the retailer obtains the highest profit is the least profitable for the manufacturer. To avoid irrational ordering behavior by a retailer against a manufacturer, a revenue-sharing contract is proposed. Second, the mobile application, ``My Own Refrigerator'', is considered in the inventory model. It enables customers to store BOGO products in their virtual storage for later use. That is, customers can drop by the store to pick up the extra freebies in the future. The promotion involves a high degree of uncertainty regarding the revisiting date because customers who buy the product do not need to take both products on the day of purchase. To deal with this uncertainty, we propose a robust multiperiod inventory model by addressing the approximation of a multistage stochastic optimization model. Third, the trade-in program is considered. It is one of the sales promotions that companies collect used old-generation products from customers and provide them with new-generation products at a discount price. It also helps to acquire the additional products which are required for the refurbishment service. A multiperiod stochastic inventory model based on the closed-loop supply chain system is proposed by incorporating the trade-in program and refurbishment service simultaneously. The stochastic optimization model is approximated to the robust counterpart, which features a deterministic second-order cone program.์‹œ์žฅ์˜ ์„ธ๊ณ„ํ™”์— ๋”ฐ๋ฅธ ๊ธฐ์—… ๊ฐ„์˜ ๊ฒฝ์Ÿ์ด ๊ฐ€์†ํ™”๋จ์— ๋”ฐ๋ผ, ๋‹จ๊ธฐ ์ธ์„ผํ‹ฐ๋ธŒ๋ฅผ ํ†ตํ•ด ๊ณ ๊ฐ์˜ ์ œํ’ˆ ๋˜๋Š” ์„œ๋น„์Šค ๊ตฌ๋งค๋ฅผ ์œ ๋„ํ•˜๋Š” ํŒ๋งค์ด‰์ง„์˜ ์—ญํ• ์ด ์ค‘์š”ํ•ด์กŒ๋‹ค. ๊ฐ€๊ฒฉ ์ธํ•˜, ํ–‰์‚ฌ์ƒํ’ˆ ์ฆ์ •, ํŠธ๋ ˆ์ด๋“œ์ธํ”„๋กœ๊ทธ๋žจ๊ณผ ๊ฐ™์€ ๋‹ค์–‘ํ•œ ์œ ํ˜•์˜ ํŒ๋งค์ด‰์ง„ ์ „๋žต์ด ์กด์žฌํ•˜์ง€๋งŒ, ๊ณตํ†ต๋œ ์ฃผ์š” ๋ชฉ์ ์€ ๊ธฐ์—…์ด ๊ณ ๊ฐ์—๊ฒŒ ํ˜œํƒ์„ ์ œ๊ณตํ•˜์—ฌ ๊ณ ๊ฐ์˜ ์ˆ˜์š”๋ฅผ ์ฆ๋Œ€์‹œํ‚ค๋Š” ๊ฒƒ์ด๋‹ค. ํŒ๋งค์ด‰์ง„์˜ ์„ฑ๊ณต์ ์ธ ์ „๋žต์€ ๊ฒฝ์˜๊ณผํ•™ ๋˜๋Š” ๊ณต๊ธ‰๋ง๊ด€๋ฆฌ ๋ถ„์•ผ๋ฅผ ํฌํ•จํ•œ ๊ด€๋ จ ํ•™๊ณ„์˜ ๊ด€์‹ฌ์„ ์ด๋Œ์—ˆ๋‹ค. ์ง€์†์ ์ธ ์šด์˜์„ ์œ„ํ•œ ์ „๋žต์„ ๊ฒ€ํ† ํ•˜๊ณ  ์ „๋žต์  ์ˆ˜์ค€ ๊ณ„ํš์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ํŒ๋งค ์ด‰์ง„์˜ ํšจ๊ณผ๋ฅผ ์ž…์ฆํ•˜๊ธฐ ์œ„ํ•œ ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์šด์˜ ์ˆ˜์ค€์˜ ์†Œ๋งค์—…์ฒด ์ž…์žฅ์—์„œ์˜ ์—ฐ๊ตฌ๋Š” ๋ฏธํกํ•œ ์‹ค์ •์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” (i) ๋งˆํฌ ๋‹ค์šด (ii) buy one get one free (BOGO), ๋ฐ (iii) ํŠธ๋ ˆ์ด๋“œ์ธํ”„๋กœ๊ทธ๋žจ์„ ๊ณ ๋ คํ•œ ์žฌ๊ณ ๊ด€๋ฆฌ๋ชจํ˜•์„ ๋‹ค๋ฃฌ๋‹ค. ๋จผ์ €, ์‹ ๋ฌธ๊ฐ€ํŒ์› ๋ชจํ˜•์— ๋งˆํฌ ๋‹ค์šด ์‹œ์ž‘ ์‹œ์ ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฐ์ • ๋ณ€์ˆ˜๋ฅผ ๋„์ž…ํ•˜์—ฌ ์ตœ์ ์˜ ๋งˆํฌ ๋‹ค์šด ์‹œ์ž‘ ์‹œ์ ๊ณผ ์ฃผ๋ฌธ๋Ÿ‰์˜ ์กฐํ•ฉ์„ ์ œ๊ณตํ•˜๋Š” ๋ชจํ˜•์„ ์ œ์•ˆํ•œ๋‹ค. ๋ถ„์‚ฐ ์‹œ์Šคํ…œ์˜ ํŠน์ • ์กฐ๊ฑด์—์„œ๋Š” ์†Œ๋งค์—…์ž๊ฐ€ ๊ฐ€์žฅ ๋†’์€ ์ด์ต์„ ์–ป๋Š” ์‹œ์ ์ด ์ œ์กฐ์—…์ž์—๊ฒŒ ๋‚ฎ์€ ์ˆ˜์ต์„ฑ์„ ์•ผ๊ธฐํ•  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์ œ์กฐ์—…์ž์— ๋Œ€ํ•œ ์†Œ๋งค์—…์ž์˜ ๋น„ํ•ฉ๋ฆฌ์  ์ฃผ๋ฌธ์„ ๋ง‰๊ธฐ ์œ„ํ•œ ์ด์ต๋ถ„๋ฐฐ๊ณ„์•ฝ์„ ์ œ์•ˆํ•œ๋‹ค. ์ด์ต๋ถ„๋ฐฐ๊ณ„์•ฝ์„ ํ†ตํ•œ ์ค‘์•™์ง‘๊ถŒํ™” ์‹œ์Šคํ…œ์€ ๋ถ„์‚ฐ ์‹œ์Šคํ…œ์—์„œ ์–ป์€ ์ด์ต์— ๋น„ํ•ด ์†Œ๋งค์—…์ž์™€ ์ œ์กฐ์—…์ž์˜ ์ด์ต์„ ํ–ฅ์ƒ์‹œํ‚ด์„ ์ˆ˜์น˜์‹คํ—˜์„ ํ†ตํ•ด ํ™•์ธํ•˜์˜€๋‹ค. ๋‘˜์งธ, ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ``๋‚˜๋งŒ์˜ ๋ƒ‰์žฅ๊ณ ''๋ฅผ ๊ณ ๋ คํ•œ ์žฌ๊ณ ๋ชจํ˜•์„ ๊ณ ๋ คํ•œ๋‹ค. ์ด ์•ฑ์„ ํ†ตํ•ด BOGO ํ–‰์‚ฌ์ œํ’ˆ์„ ๊ตฌ๋งคํ•œ ๊ณ ๊ฐ์€ ์ฆ์ •ํ’ˆ์„ ๊ตฌ๋งค ๋‹น์ผ ๋‚  ๊ฐ€์ ธ๊ฐ€์ง€ ์•Š๊ณ  ๋ฏธ๋ž˜์— ์žฌ๋ฐฉ๋ฌธํ•˜์—ฌ ์ˆ˜๋ นํ•  ์ˆ˜ ์žˆ๋Š” ํ˜œํƒ์„ ๋ฐ›๋Š”๋‹ค. ํ•˜์ง€๋งŒ ์†Œ๋งค์—…์ž ์ž…์žฅ์—์„œ๋Š” ๊ณ ๊ฐ์ด ์ฆ์ •ํ’ˆ์„ ์–ธ์ œ ์ˆ˜๋ นํ•ด ๊ฐˆ ์ง€์— ๋Œ€ํ•œ ๋ถˆํ™•์‹ค์„ฑ์ด ์กด์žฌํ•˜๋ฉฐ ์ด๋Š” ๊ธฐ์กด์˜ ์žฌ๊ณ ๊ด€๋ฆฌ ์šด์˜๋ฐฉ์‹์—๋Š” ํ•œ๊ณ„์ ์ด ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ณ ๊ฐ์˜ ์žฌ๋ฐฉ๋ฌธ์— ๋Œ€ํ•œ ๋ถˆํ™•์‹ค์„ฑ์„ ๊ณ ๋ คํ•œ ๋ณต์ˆ˜๊ธฐ๊ฐ„ ์ถ”๊ณ„๊ณ„ํš ์žฌ๊ณ ๋ชจํ˜•์„ ์ˆ˜๋ฆฝํ•˜๋ฉฐ ์ด๋ฅผ ํšจ์œจ์ ์œผ๋กœ ๊ณ„์‚ฐํ•˜๊ธฐ ์œ„ํ•œ ๊ฐ•๊ฑด์ตœ์ ํ™” ๋ชจํ˜•์œผ๋กœ ๊ทผ์‚ฌํ™”ํ•˜์˜€๋‹ค. ์…‹์งธ, ๋ฆฌํผ์„œ๋น„์Šค์™€ ํŠธ๋ ˆ์ด๋“œ์ธํ”„๋กœ๊ทธ๋žจ์„ ๊ณ ๋ คํ•œ ํํšŒ๋กœ ๊ณต๊ธ‰๋ง ์‹œ์Šคํ…œ ๊ธฐ๋ฐ˜์˜ ๋ณต์ˆ˜๊ธฐ๊ฐ„ ์žฌ๊ณ ๊ด€๋ฆฌ๋ชจํ˜•์„ ์ œ์•ˆํ•œ๋‹ค. ์‹ ์„ธ๋Œ€ ์ œํ’ˆ, ๋ฆฌํผ์„œ๋น„์Šค ๋ฐ ํŠธ๋ ˆ์ด๋“œ์ธํ”„๋กœ๊ทธ๋žจ์— ๋Œ€ํ•œ ์„ธ ๊ฐ€์ง€ ์œ ํ˜•์˜ ๋ถˆํ™•์‹คํ•œ ์ˆ˜์š”์— ๋Œ€ํ•œ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ฐ˜์˜ํ•จ์— ๋”ฐ๋ผ ๋ณต์ˆ˜๊ธฐ๊ฐ„ ์ถ”๊ณ„๊ณ„ํš ์žฌ๊ณ ๋ชจํ˜•์ด ์ˆ˜๋ฆฝ๋œ๋‹ค. ๋ณต์ˆ˜๊ธฐ๊ฐ„ ์ถ”๊ณ„๊ณ„ํš ์žฌ๊ณ ๋ชจํ˜•์˜ ๊ณ„์‚ฐ์ด ์–ด๋ ต๋‹ค๋Š” ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ณ ์ž ๊ฐ•๊ฑด์ตœ์ ํ™” ๋ชจํ˜•์œผ๋กœ ๊ทผ์‚ฌํ™”ํ•˜์˜€๋‹ค.Chapter 1 Introduction 1 1.1 Sales promotion 1 1.2 Inventory management 3 1.3 Research motivations 6 1.4 Research contents and contributions 8 1.5 Outline of the dissertation 10 Chapter 2 Optimal Start Time of a Markdown Sale Under a Two-Echelon Inventory System 11 2.1 Introduction and literature review 11 2.2 Problem description 17 2.3 Analysis of the decentralized system 21 2.3.1 Newsvendor model for a retailer 21 2.3.2 Solution procedure for an optimal combination of the start time of the markdown sale and the order quantity 25 2.3.3 Profi t function of a manufacturer 25 2.3.4 Numerical experiments of the decentralized system 27 2.4 Analysis of a centralized system 35 2.4.1 Revenue-sharing contract 35 2.4.2 Numerical experiments of the centralized system 38 2.5 Summary 40 2.5.1 Managerial insights 41 Chapter 3 Robust Multiperiod Inventory Model with a New Type of Buy One Get One Promotion: "My Own Refrigerator" 43 3.1 Introduction and literature review 43 3.2 Problem description 51 3.2.1 Demand modeling 52 3.2.2 Sequences of the ordering decision 54 3.3 Mathematical formulation of the IMMOR 56 3.3.1 Mathematical formulation of the IMMOR under the deterministic demand 58 3.3.2 Mathematical formulation of the IMMOR under the stochastic demand 58 3.3.3 Distributionally robust optimization approach for the IMMOR 60 3.4 Computational experiments 76 3.4.1 Experiment 1: tractability of the RIMMOR 77 3.4.2 Experiment 2: robustness of the RIMMOR 78 3.4.3 Experiment 3: e ect of duration of the expiry date under the different customers' revisiting propensities 78 3.5 Summary 83 3.5.1 Managerial insights 83 Chapter 4 Robust Multiperiod Inventory Model Considering Refurbishment Service and Trade-in Program 85 4.1 Introduction 85 4.2 Literature review 91 4.2.1 Effects of the trade-in program and strategic-level decisions for the trade-in program 91 4.2.2 Inventory or lot-sizing model in a closed-loop supply chain system 94 4.2.3 Distinctive features of this research 97 4.3 Problem description 100 4.3.1 Demand modeling 103 4.3.2 Decision of the inventory manager 105 4.4 Mathematical formulation 108 4.4.1 Mathematical formulation of the IMRSTIP under the deterministic demand model 108 4.4.2 Mathematical formulation of the IMRSTIP under the stochastic demand model 110 4.4.3 Distributionally robust optimization approach for the IMRSTIP 111 4.5 Computational experiments 125 4.5.1 Demand process 125 4.5.2 Experiment 1: tractability of the RIMRSTIP 128 4.5.3 Experiment 2: approximation error from the expected value given perfect information 129 4.5.4 Experiment 3: protection against realized uncertain factors 130 4.5.5 Experiment 4: di erences between modeling demands from VARMA and ARMA 131 4.5.6 Experiments 5 and 6: comparisons of backlogged refurbishment service with or without trade-in program 133 4.6 Summary 136 Chapter 5 Conclusions 138 5.1 Summary 138 5.2 Future research 140 Bibliography 142 Chapter A 160 A.1 160 A.2 163 A.3 163 A.4 164 A.5 165 A.6 166 Chapter B 168 B.1 168 B.2 171 B.3 172 Chapter C 174 C.1 174 C.2 174 ๊ตญ๋ฌธ์ดˆ๋ก 179Docto

    Achieving quality medical equipment in developing countries through remanufacturing

    Get PDF
    Remanufacturing restores a used product to at least, its original equipment manufacturers (OEM) performance specification from the customerโ€™s perspective and gives the resultant product a warranty that is at least equal to that of newly manufactured equivalent product. It is a wise option as it offers high quality products at lower price since remanufactured products are substantially cheaper than new products of equivalent quality. Remanufacturing also has social, economic, and environmental benefits since it has the potential to become a source of revenue, create jobs and reduce environmental pollution. While remanufacturing is common in industries such as automobile and aviation, its application and benefits in the medical device industry have not been investigated. Medical devices are crucial in the diagnosis and treatment of diseases and injuries but are inequitably distributed globally, such that there is acute shortage in developing countries with consequent high mortality rates over disease and adverse health conditions that could be treated if the right equipment were available. Several strategies have been considered to eliminate or mitigate this issue. However, neither has remanufacturing been considered a potential solution to this issue nor key factors in implementing medical equipment remanufacturing for developing countries been identified. This study proposes remanufacturing as a potential sustainable solution to this issue. The research was conducted in 3 phases following a multiphase mixed methods design. Questionnaires and interviews were used to gather data while pre-figured thematic analysis, Decision-making trial and evaluation laboratory (DEMATEL) technique and confirmatory factor analysis techniques were used to analyse the data. Main findings of this research include the following: (1) medical equipment remanufacturing can address 5 out of 11 causes of poor medical equipment availability accounting for 43.5% of the overall prominence. (2) A definition and decision support frameworks for medical equipment remanufacturing that could help to improve availability of quality medical equipment in developing countries (3) Major concerns in implementing medical equipment remanufacturing. (4) Impact of perception on the purchase intention for remanufactured medical equipment. This research is the first to identify the potential impact of remanufacturing in addressing medical equipment availability issues in developing countries, to characterise medical equipment remanufacturing towards this end. It is unique in its application of DEMATEL to the study of root causes of poor availability of medical equipment in developing countries and in applying behavioural science in understanding its purchase intentions.Remanufacturing restores a used product to at least, its original equipment manufacturers (OEM) performance specification from the customerโ€™s perspective and gives the resultant product a warranty that is at least equal to that of newly manufactured equivalent product. It is a wise option as it offers high quality products at lower price since remanufactured products are substantially cheaper than new products of equivalent quality. Remanufacturing also has social, economic, and environmental benefits since it has the potential to become a source of revenue, create jobs and reduce environmental pollution. While remanufacturing is common in industries such as automobile and aviation, its application and benefits in the medical device industry have not been investigated. Medical devices are crucial in the diagnosis and treatment of diseases and injuries but are inequitably distributed globally, such that there is acute shortage in developing countries with consequent high mortality rates over disease and adverse health conditions that could be treated if the right equipment were available. Several strategies have been considered to eliminate or mitigate this issue. However, neither has remanufacturing been considered a potential solution to this issue nor key factors in implementing medical equipment remanufacturing for developing countries been identified. This study proposes remanufacturing as a potential sustainable solution to this issue. The research was conducted in 3 phases following a multiphase mixed methods design. Questionnaires and interviews were used to gather data while pre-figured thematic analysis, Decision-making trial and evaluation laboratory (DEMATEL) technique and confirmatory factor analysis techniques were used to analyse the data. Main findings of this research include the following: (1) medical equipment remanufacturing can address 5 out of 11 causes of poor medical equipment availability accounting for 43.5% of the overall prominence. (2) A definition and decision support frameworks for medical equipment remanufacturing that could help to improve availability of quality medical equipment in developing countries (3) Major concerns in implementing medical equipment remanufacturing. (4) Impact of perception on the purchase intention for remanufactured medical equipment. This research is the first to identify the potential impact of remanufacturing in addressing medical equipment availability issues in developing countries, to characterise medical equipment remanufacturing towards this end. It is unique in its application of DEMATEL to the study of root causes of poor availability of medical equipment in developing countries and in applying behavioural science in understanding its purchase intentions

    Performance evaluation of reverse logistics enterprise โ€“ an agent-based simulation approach

    Get PDF
    Reverse logistics (RL) has been applied in many industries and sectors since its conception. Unlike forward logistics, retracing consumer goods from the point of consumption to the point of inception is not a well-studied process. It involves many uncertainties such as time, quality and quantity of returns. The returned products can be remanufactured, have parts harvested, or be disposed safely. It is important to implement these activities in a cost-effective manner. The aim of this research is to measure the performance of the RL enterprise with the help of an agent-based simulation model. The major entities in the RL network are considered as Agents that can act independently. There are several different agents: collector agent, sorting-cum-reuse agent, remanufacturing agent, recycler agent, supplier agent and distributor agent. The individual performances of the agents are measured and recommendations are given to improve their performance, leading to the enhancement of the total performance of the RL enterprise. The approach is applied to a case study involving cell phone remanufacturing
    • โ€ฆ
    corecore