Optimized Product Design Methodology: A Combinatorial Reverse Logistic Cost-Benefit Analysis Model of WEEPs

2013 ◽  
Vol 650 ◽  
pp. 692-697
Author(s):  
Jia Lli Huang

The growing amount of waste electrical and electronic products has been a tough issue in many countries. Widely expressed public concern for the environment and increasingly stringent regulations have been putting pressure on related manufacturers, forcing them to produce and dispose products in an environmentally responsible manner. Thus, during the conception and development of products, emphasis is now being put on designing products for ease of recycling and disposal. This paper presents a mathematical programming model as a tool for identifying the best design plan for optimization of WEEPs reverse logistic cost among alternative schemes. The monetary factors in the model includes the costs of main activities during the whole product recycling process, which consists of transportation, inspection, clean, repair, disassembly, materials recovery and wastes disposal as well as the benefits derived from returned products to be reused and recovered and energy acquired from the solid wastes incineration. Based on the presented model, designers could figure out the best combination options in materials, structural layout and inter-part connections. Finally, different design plans for optical mouse are discussed as a case example to offer a better insight into the proposed model and product design methodology.

Author(s):  
Sherry D. Ryan ◽  
Michael S. Gates

Researchers have attempted to augment the traditional cost/benefit analysis model used in the IT decision process. However, frequently social subsystem issues are inadequately considered. Survey data, collected from a U.S. sample of 200 executives, provides an empirical assessment of how these issues compare with other IT decision criteria given differing decision types. The social subsystem issues considered most important by decision makers are also identified and the manner by which they consider these issues is investigated.


2014 ◽  
Vol 51 (1) ◽  
pp. 67-83 ◽  
Author(s):  
Margaret Simonson McNamee ◽  
Petra Andersson

2019 ◽  
Vol 1 (1) ◽  
pp. 30-44 ◽  
Author(s):  
Yuqiang Wang ◽  
Yuguang Wei ◽  
Hua Shi ◽  
Xinyu Liu ◽  
Liyuan Feng ◽  
...  

Purpose The purpose of this paper is to study the unit train make-up scheme for loaded direction in the heavy haul railway. Design/methodology/approach A 0-1 nonlinear integer programming model with the aim of minimizing the idling period between actual train arrival time and expected train arrival time for all loaded unit trains are proposed. Findings The proposed model is applied into a case study based on Daqin heavy haul railway. Results show that the proposed model can offer operators an optimal unit train make-up scheme for loaded direction in heavy haul railway. Originality/value The proposed model can offer operators an optimal unit train make-up scheme for loaded direction in heavy haul railway.


2014 ◽  
Vol 496-500 ◽  
pp. 2720-2724
Author(s):  
Zhong Fu Tan ◽  
Lei Sun ◽  
Huan Huan Li ◽  
Li Wei Ju ◽  
Zhi Hong Chen

Aimed to solve the abandoned wind problem and reduce CO2 emission in the power generation process, this paper put forward a thermal, wind power and pumped storage power station co-operation cost-benefit analysis model. And through a simulation example, found that using pumped storage power station to substitute thermal power as the alternate service for wind power, and absorb underused wind power, can reduce the use of fired units and increase the capacity of grid to absorb wind power, as well as reduce CO2 emission. Then through the sensitivity analysis, found that the amount of grid-connected wind power is a sensitive factor of CO2 emission reduction and the decrease of grid power purchase profit. So when grid implementing wind power grid connection, should use pumped storage power station as the wind power alternate service to promote wind power grid connection.


2021 ◽  
Author(s):  
Leyla Fazli

Abstract Humanmade or natural catastrophes such as droughts, floods, earthquakes, storms, coups, economic and political crises, wars, and so forth impact various areas of the world annually. Furthermore, the lack of adequate preparations and proper coping against them causes nations to suffer heavy losses and casualties, which are sometimes irrecoverable. Consequently, as an essential activity in crisis management, humanitarian relief logistics has been of particular importance and has taken a good deal of notice at the international level during recent years. Aid facilities location and the storage of necessary commodities before a disaster and the proper distribution of relief commodities among demand points following a disaster are critical logistical strategies to improve performance and reduce latency when responding to a given disaster. In this regard, this study presents a stochastic multi-objective mixed-integer non-linear programming model in a two-level network that includes warehouses and affected areas. The model aims at minimizing total social costs, which include the expense of founding warehouses, the expense of procuring commodities, and deprivation cost, as well as maximizing fulfilled demands and warehouses utility. In this study, several pre-disaster periods, a limited budget for establishing warehouses and procuring relief commodities with their gradual injection into the system, the time value of money, various criteria for evaluating warehouses, the risk of disruption in warehouses and transportation networks, and heterogeneous warehouses are considered. The maximization of warehouses utility is done according to a data envelopment analysis model. Moreover, a multi-objective fuzzy programming model called the weighted max-min model is applied to solve the proposed model. Ultimately, the outcomes of the evaluation and validation of the proposed model show its appropriate and efficient performance.


2021 ◽  
Vol 39 (11) ◽  
Author(s):  
Ahmed Alrawi

This study discus the Fluctuations on Iraqi Economic Growth using  linear programming approach.  This article proposes an operational approach for research to maximize customer satisfaction by optimizing the quality levels of numerous quality attributes of a physical product within the limits of the manufacturer's requirements. The linear model of programming has been shown using the data acquired for an example bicycle product. The optimal values for the quality of selected bicycle quality features have been calculated using  optimization software. A cost-benefit analysis for some quality features of the crude oil was conducted to validate the proposed model. The model discussed in this article considers not only pleasure of customers but also satisfaction of the producer with the costs associated with the product


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