scholarly journals Facility layout design – review of current research directions

2018 ◽  
Vol 10 (3) ◽  
pp. 70-79 ◽  
Author(s):  
Mateusz Kikolski ◽  
Chien-Ho Ko
Keyword(s):  
Facility Layout ◽  
Layout Design ◽  
Production Plant ◽  
Optimal Distribution ◽  
Layout Problem ◽  
Basic Principles ◽  
Research Directions ◽  
Design Review ◽  
Scopus Database ◽  
Optimisation Methods

Abstract The article discusses the topic of designing the optimal distribution of workstations within a production plant. A review focused on publications on this subject in the Scopus database, covering the years 1975–2017. The article presents a facility layout problem and basic principles of optimisation methods for the distribution of workstations within the factory. The author proposes a methodology for designing the optimal distribution of workstations using available optimisation methods and computer simulation. Also, directions for further research are indicated.

Holistic simulation-based optimisation methodology for facility layout design with consideration to production and logistics constraints

2021 ◽  
pp. 095440542110173
Author(s):  
Enrique Ruiz Zúñiga ◽  
Erik Flores García ◽  
Matías Urenda Moris ◽  
Masood Fathi ◽  
Anna Syberfeldt
Keyword(s):  
Material Handling ◽  
Facility Layout ◽  
Holistic Approach ◽  
Multiple Attribute Decision Making ◽  
Layout Design ◽  
Analytic Hierarchy ◽  
Facility Layout Design ◽  
Multiple Attribute ◽  
Simulation Based ◽  
Optimisation Methods

Facility layout design is becoming more challenging as manufacturing moves from traditionally emphasised mass production to mass customisation. The increasing demand for customised products and services is driving the need to increase flexibility and adaptability of both production processes and their material handling systems. A holistic approach for designing facility layouts with optimised flows considering production and logistics systems constraints seems to be missing in the literature. Several tools, including traditional methods, analytic hierarchy process, multiple-attribute decision making, simulation, and optimisation methods, can support such a process. Among these, simulation-based optimisation is the most promising. This paper aims to develop a facility layout design methodology supported by simulation-based optimisation while considering both production and logistics constraints. A literature review of facility layout design with simulation and optimisation and the theoretical and empirical challenges are presented. The integration of simulation-based optimisation in the proposed methodology serves to overcome the identified challenges, providing managers and stakeholders with a decision support system that handles the complex task of facility layout design.

scholarly journals A Multi-User Interactive Coral Reef Optimization Algorithm for Considering Expert Knowledge in the Unequal Area Facility Layout Problem

2021 ◽  
Vol 11 (15) ◽  
pp. 6676
Author(s):  
Lorenzo Salas-Morera ◽  
Laura García-Hernández ◽  
Carlos Carmona-Muñoz
Keyword(s):  
Coral Reef ◽  
Collaborative Design ◽  
Expert Knowledge ◽  
Fitness Function ◽  
Facility Layout ◽  
Layout Problem ◽  
New Strategy ◽  
Problem Instances ◽  
Expert Designer ◽  
First Time

The problem of Unequal Area Facility Layout Planning (UA-FLP) has been addressed by a large number of approaches considering a set of quantitative criteria. Moreover, more recently, the personal qualitative preferences of an expert designer or decision-maker (DM) have been taken into account too. This article deals with capturing more than a single DM’s personal preferences to obtain a common and collaborative design including the whole set of preferences from all the DMs to obtain more complex, complete, and realistic solutions. To the best of our knowledge, this is the first time that the preferences of more than one expert designer have been considered in the UA-FLP. The new strategy has been implemented on a Coral Reef Optimization (CRO) algorithm using two techniques to acquire the DMs’ evaluations. The first one demands the simultaneous presence of all the DMs, while the second one does not. Both techniques have been tested over three well-known problem instances taken from the literature and the results show that it is possible to obtain sufficient designs capturing all the DMs’ personal preferences and maintaining low values of the quantitative fitness function.

scholarly journals Mapping and Clustering Analysis on Environmental, Social and Governance Field a Bibliometric Analysis Using Scopus

2021 ◽  
Vol 13 (13) ◽  
pp. 7304
Author(s):  
Shang Gao ◽  
Fanchen Meng ◽  
Zhouyang Gu ◽  
Zhiyuan Liu ◽  
Muhammad Farrukh
Keyword(s):  
Bibliometric Analysis ◽  
Clustering Analysis ◽  
Research Agenda ◽  
Future Research ◽  
Unique Contribution ◽  
Research Directions ◽  
Current Trends ◽  
Bibliographic Data ◽  
Future Research Directions ◽  
Scopus Database

Academic interest in ESG has grown significantly in recent years. Nevertheless, bibliometric and visualization research on this topic is still insufficient. This study aims to conduct publication metrics on the literature connected with ESG and attempt to give a research agenda for future research. In this study, we used data from the Scopus database. Various bibliometric techniques, such as bibliographic coupling and co-occurrence analysis, were combined with assorted themes to present an overview. To the best of our knowledge, there is no study that analyses the bibliographic data on ESG fields; this study is a unique contribution to the literature. This study also provides an overview of the trends and trajectories with a visual and schematic frame for the research of this topic. This may help researchers understand the current trends and future research directions, and enable future authors to conduct their studies more effectively.

Applications of Multiple Objective Genetic Algorithms in the Optimization Design of Tracked Self-Moving Power’s Layout

2013 ◽  
Vol 307 ◽  
pp. 161-165
Author(s):  
Hai Jin ◽  
Jin Fa Xie
Keyword(s):  
Optimization Design ◽  
Pareto Front ◽  
Layout Optimization ◽  
Multiple Objective ◽  
Multi Objective Optimization ◽  
Layout Problem ◽  
Basic Principles ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Set Up

A multi-objective genetic algorithm is applied into the layout optimization of tracked self-moving power. The layout optimization mathematical model was set up. Then introduced the basic principles of NSGA-Ⅱ, which is a Pareto multi-objective optimization algorithm. Finally, NSGA-Ⅱwas presented to solve the layout problem. The algorithm was proved to be effective by some practical examples. The results showed that the algorithm can spread toward the whole Pareto front, and provide many reasonable solutions once for all.

An Unequal-Sized Unidirectional Loop Layout Design Problem Considering Empty Vehicle Trip

2010 ◽  
Vol 37-38 ◽  
pp. 116-121
Author(s):  
Yu Lan Li ◽  
Bo Li ◽  
Su Jun Luo
Keyword(s):  
Material Handling ◽  
Design Principle ◽  
Facility Layout ◽  
Original Model ◽  
Layout Problem ◽  
Proposed Model ◽  
Loop Layout ◽  
Material Handling Costs ◽  
Loop Layout Problem ◽  
Better Than

In the facility layout decisions, the previous general design principle is to minimize material handling costs, and the objective of these old models only considers the costs of loaded trip, without regard to empty vehicle trip costs, which do not meet the actual demand. In this paper, the unequal-sized unidirectional loop layout problem is analyzed, and the model of facility layout is improved. The objective of the new model is to minimize the total loaded and empty vehicle trip costs. To solve this model, a heuristic algorithm based on partheno-genetic algorithms is designed. Finally, an unequal-sized unidirectional loop layout problem including 12 devices is simulated. Comparison shows that the result obtained using the proposed model is 20.4% better than that obtained using the original model.

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