Abstract The range of manufacturing technologies available to firms has significantly increased in the past 20 years. A potential buyer of a technology such as machine tools, industrial robots, or flexible manufacturing systems is faced with many options in both performance and cost. This paper proposes a decision model for technology selection problems using a two-phase procedure. In phase 1, data envelopment analysis is used to identify technologies that provide the best combinations of vendor specifications on the performance parameters of the technology. In phase 2, a multi-attribute decision making model is used to select a technology from those identified in phase 1. Unlike most other models for technology selection, this model takes into consideration the fact that the performance of a technology, as specified by its vendor, is often unobtainable in reality. The proposed model is illustrated using robot selection and is tested on an actual robot data set.
#1Moutaz Khouja(UNCC: University of North Carolina at Charlotte)H-Index: 33
#2O. Felix Offodile(SPbU: Saint Petersburg State University)H-Index: 15
Abstract Research on the industrial robot selection problem (RSP) has received increased attention in the past decade. In this paper, RSP models are reviewed and classified. The strengths and weaknesses of the different approaches to the RSP are summarized. A tabular framework is used to summarize the reviewed RSP models. For quick and easy reference, the table categorizes the models by application, solution approach, robot attributes considered, and selection criteria. We suggest directions for...
Industrial robots are increasingly used by many manufacturing firms. The number of robot manufacturers has also increased, with many of these firms now offering a wide range of robots. A potential user is thus faced with many options in both performance and cost. Proposes a decision model for the robot selection problem using both a robustified Mahalanobis distance analysis, i.e. a multivariate distance measure, and principal‐components analysis. Unlike most other models for robot selection, thi...
#1Layek Abdel-Malek(NJIT: New Jersey Institute of Technology)H-Index: 17
#2Carl Wolf(NJIT: New Jersey Institute of Technology)H-Index: 5
Abstract Crucial for a successful implementation of FMS is the selection of the most appropriate system from available alternatives. To aid management in the decision-making process, a “measure” is proposed that ranks different competing FMS designs according to their inherent flexibility as they relate to the maximum flexibility possible stipulated by the state-of-the-art. In developing the proposed “measure”, the attributes governing the flexibility of FMS major components are defined. A notio...
#1V. P. Agrawal(IITD: Indian Institute of Technology Delhi)H-Index: 5
#2V. Kohli(IITD: Indian Institute of Technology Delhi)H-Index: 1
Last. Sushil Gupta(IITD: Indian Institute of Technology Delhi)H-Index: 29
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Abstract This paper presents an efficient approach for a computer-based solution to the problem of selection of an ‘optimum robot’ specifically to aid industries. The approach breaks new ground by applying Multiple Attribute Decision Making (MADM) ideology to equipment selection (robots) which is of consequence because selection is an implicit aspect of design. Indeed, the approach is also applicable to a robot design problem. The robot selection procedure allows rapid convergence from a very la...
#1Moutaz Khouja(UNCC: University of North Carolina at Charlotte)H-Index: 33
#2David E. Booth(College of Business Administration)H-Index: 28
Industrial robots are increasingly used by many manufacturing firms. The number of robot manufacturers has also increased with many of these firms now offering a wide range of models. A potential user is thus faced with many options in both performance and cost. This paper proposes a decision model for the robot selection problem. The proposed model uses robust regression to identify, based on manufacturers' specifications, the robots that are the better performers for a given cost. Robust regre...
Fundamentals the LINDO Program Model Formulation: Fundamentals and Templates Extension of LP Implementation Issues Special Topics Solution Methods from LPs.
Using an application of linear programming known as Data Envelopment Analysis (DEA), a method is described to compare products which vary in excellence along a number of dimensions, and for each of which there might be a number of associated "costs". The method is illustrated by comparing published benchmarks of 37 computer printers. Potential uses of a DEA analysis of products might be: to assist corporate buyers who may need to reconcile a diversity of present and future uses in one standardis...
Abstract This study investigated how various process variables such as speed of the tool center point and payload effect robot repeatability. The study was a simulated multistation assembly operation done on a flat table top. Various combinations of the process variables were used for the study. The results of the investigation showed that these process variables affect robot performance in varying degrees, with higher speeds and weights having the most significant effect. The repeatability of t...
Abstract The number and types of industrial robots available on the market make the selection process an increasingly difficult one for potential robot users. This paper describes an expert system designed for the selection of industrial robots. The system takes into account functional, organizational as well as economical criteria in the selection process. It is user friendly and runs on the VAX/11-750 central processor.
In this paper, we present a methodology, by utilising a nonparametric multivariate cumulative sum control chart and data envelopment analysis in tandem, to evaluate and monitor distribution network...
Abstract Data envelopment analysis is a very effective mathematical instrument in assessing the performance of decision-making units. In most real cases, the decision-maker need to identify a single most efficient unit. Several approaches were proposed for this necessity in the literature using data envelopment analysis. This study, based on the two steps model suggested by Toloo and Salahi (2018), proposes a new model without epsilon to choose the most efficient unit. The proposed model has few...
#1Tabasam Rashid(University of Management and Technology, Lahore)H-Index: 15
#2Asif Ali(University of Management and Technology, Lahore)H-Index: 3
Last. Yu-Ming Chu(CCSU: Changsha University)H-Index: 1
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Industrial robots have different capabilities and specifications according to the required applications. It is becoming difficult to select a suitable robot for specific applications and requirements due to the availability of several types with different specifications of robots in the market. Best-worst method is a useful, highly consistent and reliable method to derive weights of criteria and it is worthy to integrate it with the evaluation based on distance from average solution (EDAS) metho...
Small and Medium Enterprises (SMEs) are considered to be one of the reliable drivers of economic well-being of any economy. However, in the context of the poorest countries in the world- those of S...
The decision-making units (DMUs) in the modern service industries may produce desirable outputs and undesirable outputs. For the decision makers, some outputs may be more desired than others althou...
#1Asif Ali(University of Management and Technology, Lahore)H-Index: 3
#2Tabasam Rashid(University of Management and Technology, Lahore)H-Index: 15
For different applications, there are different robots having capabilities and specifications accordingly. For a particular application and industrial requirement, proper and suitable selection of robot is a difficult task. Numerous robot selection methods are available. Considering the research works on industrial robot selection, group best–worst method is employed in this paper for the proper selection of robots. Weighing the decision makers by considering their past experience is an importan...
This article is an analysis of the impact of implementing technical and technological solutions in the form of a deodorization system, which was carried out on the basis of a case study in the years 2015 and 2019 of an existing waste management plant named located in the region of Lower Silesia. The method for determining the impact was based on an analytical method for estimating changes in plant operation parameters in relation to the emission of odor compounds, determined at selected referenc...
