Implementation model for cellular manufacturing system using AHP and ANP approach

Abstract

Purpose The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods. Design/methodology/approach Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis. Findings These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability. Practical implications The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners. Originality/value The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.

Using Ahp to Improve Manufacturing Processes in TPM on Industrial and Port Complex

“…Other compensatory methods, such as Analytic Network Process (ANP), a specific case of the AHP, have not been considered by this research. Because it considers that there is a dependence between criteria and alternatives between their levels and with other levels (Sharma et al, 2019), other compensatory methods like Macbeth, Smarts/Smarter, the veto additive, and Fitradeoff were not used due to the own problem of this research.…”

Bi̇r İmalat İşletmesi̇nde Ahp Tabanli Yalin Üreti̇m Tekni̇ği̇ Seçi̇mi̇

“…Bu noktada Analitik Hiyerarşi Prosesini olay veya olguların belli bir düzen içerisinde sıralanması ve belli bir amaç çerçevesinde kriterleri göz önünde bulundurularak alternatifin seçilmesi ya da muhakeme edilmesi işlemi olarak tanımlamak mümkündür. AHP yöntemi nitel ve nicel bileşenleri içeren karar alma modeline yardımcı olan bir tekniktir (Sharma et al, 2018 (Timor, 2011).…”

“…Bu noktada Analitik Hiyerarşi Prosesini olay veya olguların belli bir düzen içerisinde sıralanması ve belli bir amaç çerçevesinde kriterleri göz önünde bulundurularak alternatifin seçilmesi ya da muhakeme edilmesi işlemi olarak tanımlamak mümkündür. AHP yöntemi nitel ve nicel bileşenleri içeren karar alma modeline yardımcı olan bir tekniktir (Sharma et al, 2018). 1968 yılında Myers ve Albert tarafından ortaya atılan Analitik Hiyerarşi Prosesi daha sonra Thomas Saaty tarafından geliştirilerek herhangi bir karar verme probleminin çözümlenmesinde kullanılmaktadır (Güleş vd., 2014).…”

“…The Analytical Hierarchy Process method is a tool to choose the most important alternative with the criteria available according to the predetermined target. The AHP method is a technique that helps the decision-making model that includes qualitative and quantitative components (Sharma et al, 2018). This method is a decision process based on a decision mechanism in which the importance of criteria and alternatives are calculated in light of the determination of the objective.…”

Decision-Making System Based on a Fuzzy Hierarchical Analysis Process and an Artificial Neural Network for Flow Shop Machine Scheduling Model Under Uncertainty

“…In the same way, several approaches of multi-criteria assessment methods have been identified to address decision-making processes, such as: Analytic Hierarchy Process (AHP), Preference Ranking Organization Methods for Enrichment Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) [4], [5], [6]; such work is based on the knowledge of experts. The AHP and its fuzzy AHPD variant stand out in the last decade [7], [8], [9], its main applications are oriented to the choice of manufacturing strategies, flexibility in production processes and action plans in various circumstances [10], [11], [12], [13], [14], [15], [16]. Additionally, the works of [17], [18], [19], [20] have been identified where uncertainty is used as a tool that strengthens the solution convergence of solving methods of machine scheduling models, and not as a determining variable in the final scheduling.…”