Intelligent systems in manufacturing: current developments and future prospects

Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of artificial intelligence techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different Artificial Intelligence (AI) techniques to be considered and then shows how these AI techniques are used for the components of IMS

Facility layout problem: Bibliometric and benchmarking analysis

Facility layout problem is related to the location of departments in a facility area, with the aim of determining the most effective configuration. Researches based on different approaches have been published in the last six decades and, to prove the effectiveness of the results obtained, several instances have been developed. This paper presents a general overview on the extant literature on facility layout problems in order to identify the main research trends and propose future research questions. Firstly, in order to give the reader an overview of the literature, a bibliometric analysis is presented. Then, a clusterization of the papers referred to the main instances reported in literature was carried out in order to create a database that can be a useful tool in the benchmarking procedure for researchers that would approach this kind of problems

Strategic development of the built environment through international construction, quality and productivity management

This thesis presents a coherent, sustained and substantial contribution to the advancement of knowledge or application of knowledge or both in the field of construction management and economics. More specifically, this thesis outlines the strategic development of the built environment through lessons from international construction, quality and productivity management. The strategic role of construction in economic development is emphasized. It describes the contributions transnational construction firms made towards modern-day construction project management practices globally. It establishes the relationship between construction quality and economic development and fosters a better understanding of total quality management and quality management systems in enhancing construction industry performance. Additionally, it prescribes lessons from the manufacturing industry for construction productivity and identifies the amount of carbon emissions reduced through lean construction management practices to alleviate the generally adverse effects of the built environment on global climate change. It highlights the need for integrated management systems to enhance quality and productivity for sustainable development in the built environment. The thesis is an account of how the built environment has evolved, leveraging on lessons from international construction, quality and productivity management for improvements over the past two decades

Application of a hybrid MCDM method in construction logistics

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Facility layout planning. An extended literature review

[EN] Facility layout planning (FLP) involves a set of design problems related to the arrangement of the elements that shape industrial production systems in a physical space. The fact that they are considered one of the most important design decisions as part of business operation strategies, and their proven repercussion on production systems' operation costs, efficiency and productivity, mean that this theme has been widely addressed in science. In this context, the present article offers a scientific literature review about FLP from the operations management perspective. The 232 reviewed articles were classified as a large taxonomy based on type of problem, approach and planning stage and characteristics of production facilities by configuring the material handling system and methods to generate and assess layout alternatives. We stress that the generation of layout alternatives was done mainly using mathematical optimisation models, specifically discrete quadratic programming models for similar sized departments, or continuous linear and non-linear mixed integer programming models for different sized departments. Other approaches followed to generate layout alternatives were expert's knowledge and specialised software packages. Generally speaking, the most frequent solution algorithms were metaheuristics.The research leading to these results received funding from the European Union H2020 Program under grant agreement No 958205 `Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)'and from the Spanish Ministry of Science, Innovation and Universities under grant agreement RTI2018-101344-B-I00 `Optimisation of zerodefectsproduction technologies enabling supply chains 4.0 (CADS4.0)'Pérez-Gosende, P.; Mula, J.; Díaz-Madroñero Boluda, FM. (2021). Facility layout planning. An extended literature review. International Journal of Production Research. 59(12):3777-3816. https://doi.org/10.1080/00207543.2021.189717637773816591

Facility Planning and Associated Problems: A Survey

In this study, we have classified and reviewed different types of problems which are related to facility planning and layout design for different types of manufacturing processes. The main problems which are related to location of  facilities which also affects the system performance  such as distribution of man, material and machine in a plant or a factory and their optimization technique while using of mathematical models, their solutions and application related to whole problems is presented. For solving this type of problems, intelligent techniques such as expert systems, fuzzy logic and neutral networks have been used. In this paper the recent analysis on facility layout is incorporated and facility layout problem is surveyed. Many intelligent techniques and conventional algorithms for solving FLP are presented. In our discussion different research direction, general remarks and tendencies have been mentioned Keywords—Facility Planning, Material handling Optimization metho

Multi-Criteria Decision-Making Methods Application in Supply Chain Management: A Systematic Literature Review

Over the last decade, a large number of research papers, certified courses, professional development programs and scientific conferences have addressed supply chain management (SCM), thereby attesting to its significance and importance. SCM is a multi-criteria decision-making (MCDM) problem because throughout its process, different criteria related to each supply chain (SC) activity and their associated sub-criteria must be considered. Often, these criteria are conflicting in nature. For their part, MCDM methods have also attracted significant attention among researchers and practitioners in the field of SCM. The aim of this chapter is to conduct a systematic literature review of published articles in the application of MCDM methods in SCM decisions at the strategic, tactical and operational levels. This chapter considers major SC activities such as supplier selection, manufacturing, warehousing and logistics. A total of 140 published articles (from 2005 to 2017) were studied and categorized, and gaps in the literature were identified. This chapter is useful for academic researchers, decision makers and experts to whom it will provide a better understanding of the application of MCDM methods in SCM, at various levels of the decision-making process, and establish guidelines for selecting an appropriate MCDM method for managing SC activities

A Combined Fuzzy Goal Programming and Big-Bang Big-Crunch Algorithm for Workforce Optimisation with Facility Layout Consideration

Small scale enterprises constitute an important subset of manufacturing economy and the contribution of facility redesign in bridging the performance gaps in small-scale enterprises is necessary for enterprise growth and stability. In this paper, a bi-objective programming-based facility layout design problem is formulated. We minimise workforce costs and maximise efficiency improvement in a layout. We utilised fuzzy goal programming and big-bang big-crunch algorithm in generating a Pareto solution. The model was tested using a small-scale sachet water production enterprise data. Increase in finished goods area was 66.55% while reduction in total annual distance travelled in the facility was 48.22% when the proposed layout was compared with existing one. Reduction in annual cost of labour was 16.2%. The possibility of using work-centres with high number of interrelationship was confirmed using quality function deployment and Hurwicz criterion. The optimal workforce size was found to be 14 workers against the existing workforce strength of 18 workers. The study provides a framework upon which small-scale sachet water production factories can be designed for optimum performance