مدل به حداقل رساندن هزینه لجستیک معکوس برای درمان ضایعات خطرناک
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|6424||2002||17 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Transportation Research Part E: Logistics and Transportation Review, Volume 38, Issue 6, November 2002, Pages 457–473
This study presents a cost-minimization model for a multi-time-step, multi-type hazardous-waste reverse logistics system. A discrete-time linear analytical model is formulated that minimizes total reverse logistics operating costs subject to constraints that take into account such internal and external factors as business operating strategies and governmental regulations. Application cases are presented to demonstrate the feasibility of the proposed approach. By using the proposed model coupled with operational strategies, it is shown that the total reverse logistics costs for the applications cases can be reduced by more than 49%.
Hazardous-waste reverse logistics may be useful for solving waste-induced environmental pollution problems that accompany high-technology industrial development. Here reverse logistics is referred to as the process of logistics management involved in planning, managing, and controlling the flow of wastes for either reuse or final disposal of wastes. The traditional measures, i.e., waste processing technologies, used for the treatment of hazardous wastes are inadequate for integrating waste management, collection, storage, distribution and transportation activities into comprehensive, reverse logistics operating strategies. Consequently, it is difficult to coordinate these activities in a hazardous-waste reverse logistics system for reducing environmental pollution. For example, 1.47 million metric tons of hazardous wastes are reportedly produced every year in Taiwan. However, only 40% of them can be efficiently disposed of, due to the limited capacity of Taiwanese hazardous-waste processing facilities (Wei and Huang, 2001). Although there is an increasing amount of research on reverse logistics (Stock, 1992; Cairncross, 1992; Pohlen and Farris II, 1992; Jahre, 1995; Kroon and Vrijens, 1995; Stock, 1998; Shih, 2001), studies specifically addressing hazardous wastes problems (Peirce and Davidson, 1982; Jennings and Scholar, 1984; Zografos and Samara, 1990; Koo et al., 1991; Stowers and Palekar, 1993; Nema and Gupta, 1999) are rare. It is noteworthy that previous literature appears to be devoted mainly to the optimization of reverse network configurations, including transportation routes, as well as the size and location of disposal facilities for hazardous waste management. An early example is the study by Peirce and Davidson (1982), which utilizes a linear programming model to formulate the optimization problem of transportation routing among transfer stations, disposal facilities, and long-term storage impoundments. Herein, their study may be limited to the identification of the optimal waste distribution routes under the condition that waste treatment facilities as well as specific waste processing technologies are given. The issue of transporting multiple types of wastes is investigated in Jennings and Scholar (1984), which formulates the regional hazardous waste management system (RHWMS) as simply a vehicle routing problem in an attempt to accomplish the goal of either minimum cost or minimum risk. In contrast, the study by Zografos and Samara (1990) deals only with the problem of a single type of waste; however, their method serves three objectives, including the minimizations of transportation risk, travel time, and disposal risk. In addition to vehicle routing, issues with respect to locating waste storage and treatment facilities are investigated in Koo et al. (1991) where fuzzy theories together with multi-objective optimization techniques are utilized for the facility planning of hazardous waste treatment centers in South Korea. Similar attempts can also be found in Stowers and Palekar (1993) and Nema and Gupta (1999). However, the scope of the aforementioned research is still limited to some specific areas of hazardous-waste reverse logistics. Despite the advances made in the prior literature, hazardous-waste reverse logistics warrants more research. Similar viewpoints can also be found in Fleischmann et al. (1997) in which the field of reverse logistics is classified into three main areas: (1) reverse distribution planning (Pohlen and Farris II, 1992; Jahre, 1995), (2) inventory control of return flows (Schrady, 1967; Barros et al., 1998), and (3) production planning with reuse of parts and materials (Johnson and Wang, 1995; Penev and de Ron, 1996; Richter, 1996; Spengler et al., 1997). In Fleischmann et al. (1997), the interface between reverse logistics activities is particularly emphasized. Carter and Ellram (1998) further point out that in most of previous literature, there is a lack of well-grounded, conceptual frameworks for reverse logistics. Moreover, the variety of material characteristics of hazardous wastes coupled with diverse environmental regulations has made hazardous-waste treatment problems more complex, thus requiring specific solution measures such as control and management of reverse logistics. In view of the lack of in-depth investigation with respect to hazardous-waste reverse logistics operations in the literature, herein we formulate a hazardous-waste reverse logistics cost model using a multi-time-step, multi-type operations process that minimizes the logistics costs. More specifically, the critical activities executed in a multi-type hazardous-waste reverse logistics system (HWRLS), including waste collection, storage, processing and distribution, together with the relevant logistics operating requirements, are integrated in the proposed model.
نتیجه گیری انگلیسی
This paper has presented a cost-minimization model for minimizing the total operating costs of a multi-time-step, multi-type hazardous-waste reverse logistics system. By identifying the critical activities and related basic requirements involved in the process of hazardous-waste reverse logistics operations, a discrete-time linear objective function coupled with six groups of constraints are formulated. Compared to early literature on addressing hazardous-waste treatment problems, the model found in this study has two distinctive features. First, by coordinating the critical activities of reverse logistics management, the proposed method addresses the classical hazardous-waste treatment problem with a systematical management strategy rather than with waste-treatment technologies, as conventionally employed. Second, internal and external factors, e.g., basic requirements of business operations and governmental regulations, are taken into account in the model, thereby addressing the performance of a hazardous-waste reverse logistics system. Results from applying the model to several cases suggest that total reverse logistics costs of hazardous-waste treatment systems can be reduced by more than 49% by carefully relaxing the constraints for the minimal collection and treatment requirements (i.e., (2) and (4)). A manager of a hazardous-waste treatment facility can employ the proposed model to strategically determine the time-varying waste collection amounts and treatment amounts in response to the variety of waste demands from multiple waste resources under the goal of minimizing total logistics costs. In future research, cost minimization of hazardous-waste treatment will be modeled in a supply chain management framework.