The reliable design of one-piece flow production system using fuzzy ant colony optimization

Development of a comprehensive model and BFO algorithm for a dynamic cellular manufacturing system

“…These assumptions can be justifiably relaxed if, by doing so, a more realistic model that better simulates the real working environment results, and useful factory solutions can be achieved. Table 4.Test problem generation standardization for dynamic cell formation ( [15], [16], and [17] …”

“…This consequently reduces the level of work-in-process (WIP) and leads to better performance in terms of throughput, make span, reduced backtracking and material handling, and minimized risk of production line stoppage [20], [17], [13], and [6].Yasuda et al [29] showed that the above-mentioned objectives may be in direct contradiction; the model proposed in this research work is therefore multi-objective. Inter-cell movement cost is zero if all the machines are grouped into one cell, and total cell load variation is zero provided that only one machine is assigned to each cell [5].…”

“…Also ℎ is the worker that operation j of part p must be performed on, where ℎ ∈ and = { | = 1}. This matrix is built according to equations (15), (17), and (20). In these equations, functions ceil rounds the number to the near bigger integer number and functions rnd produces random numbers within 0 to 1.…”

Design of one-piece flow production system with mixed flows: a timed process flow diagram-based approach

“…Many benefits of one-piece flow production system are reported in the existing literatures: keep the work in process (WIP) at the lowest level, encourage work balance and better quality, eliminate waste and make it easier to identify the source of problems quickly (Quintana 2002, Stockton et al 2005, Li and Rong 2009a. Many benefits of one-piece flow production system are reported in the existing literatures: keep the work in process (WIP) at the lowest level, encourage work balance and better quality, eliminate waste and make it easier to identify the source of problems quickly (Quintana 2002, Stockton et al 2005, Li and Rong 2009a.…”

An ant colony system for solving fuzzy flow shop scheduling problem

“…In various papers, fuzzy states of flow shop problem has been studied and researched by various parameters and objectives, and many methods have been presented to solve this; see [30][31][32][33][34][35][36][37][38]. Also fuzzy problems were solved with ACO method by Li and Rong [39] and Cheng et al [40]. This article is the first searching study related to the application of ACS in fuzzy flow shop.…”