Hybrid Heuristics for Multiple Production Forward/Reverse Logistics System

2010 ◽  
Vol 439-440 ◽  
pp. 1537-1542
Author(s):  
Chang Shi Liu ◽  
Yun Yao Li
Keyword(s):  
Reverse Logistics ◽  
High Performance ◽  
Fixed Number ◽  
Computational Results ◽  
Logistics System ◽  
Hybrid Heuristic ◽  
Multiple Production ◽  
Hybrid Heuristics ◽  
Heuristic Procedures ◽  
Logistics System Design

We consider a multiple production two-stage forward/reverse logistics system design problem where a fixed number of capacitated distribution/reclaiming centers are to be located with respect to capacitated suppliers and retail locations while minimizing the total costs, and take the random of demand/reclaiming into consideration. We also provide hybrid heuristic procedures for the problem, and develop transshipment heuristic to improve the duration of the proposed approaches. Finally we present computational results that show the high performance and effectiveness of the solution approaches.

A Two-Stage Hybrid Heuristic for Vehicle Routing Problem with Fuzzy Demands

2011 ◽  
Vol 460-461 ◽  
pp. 710-715 ◽  
Author(s):  
Chang Shi Liu ◽  
Fu Hua Huang
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Credibility Measure ◽  
Computational Results ◽  
Two Stage ◽  
Routing Problem ◽  
Hybrid Heuristic ◽  
Second Stage ◽  
Hybrid Heuristics ◽  
And Performance

A two-stage hybrid heuristic is presented for vehicle routing problem with fuzzy demands in this paper, the fuzzy credibility measure is employed to determine the credibility to send the vehicle to next node in the first stage, and a hybrid heuristics is proposed to determine a set of vehicle routes to minimize total costs in the second stage, especially for the additional distance and additional loading times. Finally the computational results are presented to show the high effectiveness and performance of the proposed approaches.

Cuckoo optimization algorithm in reverse logistics: A network design for COVID-19 waste management

2021 ◽  
pp. 0734242X2110039
Author(s):  
Elham Shadkam
Keyword(s):  
Waste Management ◽  
Network Design ◽  
Optimization Algorithm ◽  
Reverse Logistics ◽  
Heuristic Algorithms ◽  
Programming Model ◽  
Fixed Costs ◽  
Logistics System ◽  
Cuckoo Optimization Algorithm ◽  
Proposed Model

Today, reverse logistics (RL) is one of the main activities of supply chain management that covers all physical activities associated with return products (such as collection, recovery, recycling and destruction). In this regard, the designing and proper implementation of RL, in addition to increasing the level of customer satisfaction, reduces inventory and transportation costs. In this paper, in order to minimize the costs associated with fixed costs, material flow costs, and the costs of building potential centres, a complex integer linear programming model for an integrated direct logistics and RL network design is presented. Due to the outbreak of the ongoing global coronavirus pandemic (COVID-19) at the beginning of 2020 and the consequent increase in medical waste, the need for an inverse logistics system to manage waste is strongly felt. Also, due to the worldwide vaccination in the near future, this waste will increase even more and careful management must be done in this regard. For this purpose, the proposed RL model in the field of COVID-19 waste management and especially vaccine waste has been designed. The network consists of three parts – factory, consumers’ and recycling centres – each of which has different sub-parts. Finally, the proposed model is solved using the cuckoo optimization algorithm, which is one of the newest and most powerful meta-heuristic algorithms, and the computational results are presented along with its sensitivity analysis.

Framework Proposition Strategy for Collection of Returned Products in Reverse Logistics Environment

2020 ◽  
pp. 462-475
Author(s):  
Hendrik Lamsali
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Reverse Logistics ◽  
Future Research ◽  
Research Development ◽  
Logistics System ◽  
Logistics Network ◽  
Plastics Recycling ◽  
Product Return ◽  
Development Goals

The importance of reverse logistics and product recovery is evident in various industries as well as in current UNESCO sustainable development goals. This includes plastics and recycling with the former “contributed” significantly towards environmental issues and the latter being one of the primary solutions. The motivations of its implementation are generally divided into legal, economic, and socio-environmental factors. One of the crucial components of plastics recycling and a reverse logistics system is product return channels. The success of other components especially the recovery operations depends on the effectiveness of the return channels. Although numerous investigations on product return channels have been carried out, research on some critical aspects remains wanting. This study presents a review that highlights this deficiency, depicts relevant research development on product return channels, decision-making issues, and direction for future research. At the end of the study, the authors propose a new closed-loop logistics network and future research framework propositions.

scholarly journals A study of production and harvesting planning for the chicken industry

2018 ◽  
Vol 64 (No. 7) ◽  
pp. 316-327 ◽  
Author(s):  
You Peng-Sheng ◽  
Hsieh Yi-Chih
Keyword(s):  
Sensitivity Analysis ◽  
Production Planning ◽  
Programming Model ◽  
Computational Results ◽  
Mathematical Programming Model ◽  
Planning Period ◽  
Hybrid Heuristic ◽  
Proposed Model ◽  
Parameter Variations

To order to raise chickens for meat, chicken farmers must select an appropriate breed and determine how many broilers to raise in each henhouse. This study proposes a mathematical programming model to develop a production planning and harvesting schedule for chicken farmers. The production planning comprises the number of batches of chickens to be raised in each henhouse, the number of chicks to be raised for each batch, what breed of chicken to raise, when to start raising and the duration of the raising period. The harvesting schedule focuses on when to harvest and how many broilers to harvest each time. Our aim was to develop proper production and harvesting schedules that enable chicken farmers to maximise profits over a planning period. The problem is a highly complicated one. We developed a hybrid heuristic approach to address the issue. The computational results have shown that the proposed model can help chicken farmers to deal with the problems of chicken-henhouse assignment, chicken raising and harvesting, and may thus contribute to increasing profits. A case study of a chicken farmer in Yunlin County (Taiwan) was carried out to illustrate the application of the proposed model. Sensitivity analysis was also conducted to explore the influence of parameter variations.

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