scholarly journals Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission

2021 ◽  
Vol 1988 (1) ◽  
pp. 012054
Author(s):  
F Misni ◽  
L S Lee ◽  
N I Jaini
Keyword(s):  
Supply Chain ◽  
Simulated Annealing ◽  
Network Design ◽  
Reverse Logistics ◽  
Co2 Emission ◽  
Harmony Search ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Inventory Routing ◽  
Routing Problem

scholarly journals Hybrid Harmony Search-Simulated Annealing Algorithm for Location-Inventory-Routing Problem in Supply Chain Network Design with Defect and Non-Defect Items

2020 ◽  
Vol 10 (18) ◽  
pp. 6625
Author(s):  
Farahanim Misni ◽  
Lai Soon Lee ◽  
Hsin-Vonn Seow
Keyword(s):  
Supply Chain ◽  
Simulated Annealing ◽  
Network Design ◽  
Harmony Search ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Inventory Routing ◽  
Routing Problem ◽  
Inventory Routing Problem ◽  
The Cost

This paper considers a location-inventory-routing problem (LIRP) that integrates the strategic, tactical, and operational decision planning in supply chain network design. Both defect and non-defect items of returned products are considered in the cost of reverse logistics based on the economic production quantity model. The objective of the LIRP is to minimize the total cost of location-allocation of established depots, the cost of inventory, including production setup and holding cost, as well as the cost of travelled distance by the vehicles between the open depots and assigned customers. A Hybrid Harmony Search-Simulated Annealing (HS-SA) algorithm is proposed in this paper. This algorithm incorporates the dynamic values of harmony memory considering rate and pitch adjustment rate with the local optimization techniques to hybridize with the idea of probabilistic acceptance rule from simulated annealing, to avoid the local extreme points. Computational experiments on popular benchmark data sets show that the proposed hybrid HS-SA algorithm outperforms a standard HS and an improved HS for all cases.

Supply Chain Design Including Quality Considerations

2014 ◽  
pp. 102-140 ◽  
Author(s):  
Krystel K. Castillo-Villar ◽  
Neale R. Smith
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Simulated Annealing ◽  
Network Design ◽  
Parameter Tuning ◽  
Supply Chain Design ◽  
Background Information ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Solution Methods

This chapter introduces the reader to Supply Chain Network Design (SCND) models that include the Cost Of Quality (COQ) among the relevant costs. In contrast to earlier models, the COQ is computed internally as a function of decisions taken as part of the design of the supply chain. Earlier models assume exogenously given COQ functions. Background information is provided on previous COQ modeling and on supply chain network design models. The authors’ COQ modeling is described in detail as is the SCND model that incorporates COQ. The COQ modeling includes prevention, appraisal, and both internal and external failure costs. Solution methods based on metaheuristics such as simulated annealing and the genetic algorithm are provided, including details on parameter tuning and computational testing. A genetic algorithm was found to yield the best results, followed by the simulated annealing approach. Topics for further research are provided as well as an extensive list of references for further reading.

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