EXCITE: Expert consultant for in-plant transportation equipment

Matson, Jessica O.; Mellichamph, J. M.; Swaminathan, S. R.

doi:10.1080/00207549208948133

Cited by 37 publications

(29 citation statements)

References 1 publication

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“…Hosni (1989) described a material handling expert system (MHES), where the MHES inference engine is based on the material handling equation. Also, Malmborg, Agee, and Choudhary (1987) and Matson, Mellichamp, and Swaminathan (1992) suggested a prototype expert system for industrial truck-type selection and an expert consultant for in-plant transportation equipment, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problem

Hadi-Vencheh

Mohamadghasemi

2014

International Journal of Computer Integrated Manufacturing

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The material handling system has important impact on performance of a manufacturing or service system. The material handling equipment (MHE) selection problem generally includes evaluation of finite number of alternatives which should be ranked against different qualitative or quantitative criteria or sub-criteria. Accordingly, such a problem can be considered as a multi-criteria decision-making problem. Thus, in this article, the voting approach is first used to weight criteria and subcriteria, by introducing the assessment grades such as very low importance, low importance, moderate importance, high importance and very high importance. The synthetic value of judgements method is then adopted to convert the assessments stated as linguistics variables (by all experts) for each alternative with respect to each sub-criterion into a single fuzzy weight. Next, fuzzy weighted average is applied to aggregate the single fuzzy weights of each alternative related to subcriteria under each criterion. Finally, the fuzzy vlsekriterijumska optimizacija i kompromisno resenje approach is used to select the optimal MHE. Also, in order to demonstrate the effectiveness of the proposed approach, a case study is considered and the results are compared with fuzzy technique for order preference by similarity to ideal solution method.

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Section: Literature Reviewmentioning

confidence: 99%

A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problem

Hadi-Vencheh

Mohamadghasemi

2014

International Journal of Computer Integrated Manufacturing

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“…In such an environment, dependency on manual material handling systems is not an option, and selecting the appropriate material handling equipment is of the highest importance. The complexity causing the challenge to the material handling selection process is generally triggered by physical facility constraints, material characteristics, multiple criteria (Matson, Mellichamp, & Swaminatham, 1992), uncertainty in the operation and the diversity of material handling equipment (Karande & Chakraborty, 2013).…”

Section: Introductionmentioning

confidence: 99%

A hybrid approach for selecting material handling equipment in a warehouse

Saputro

Rouyendegh

2015

International Journal of Management Science and Engineering Man

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Warehouse operations are closely related to material handling activities. Loading, unloading, transporting and picking material constitute a huge part of the activities. In order to handle material properly as well as to contribute value to the material, the operator and the environment, utilizing Material Handling Equipment (MHE) is required. The selection of proper MHEs requires great focus since its consideration is linked to mutli-criteria and multi-objective decision making problems. Here, a hybrid method is proposed to address the MHE selection problem. An approach that integrates the entropy based hierarchical fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Multi-Objective Mixed Integer Linear Programming (MOMILP) is used for seeking the best alternative. The evaluation of alternatives is performed based on both subjective and objective criteria. Subjective weights are derived from a fuzzy Analytic Hierarchy Process (AHP). To deal with objective criteria, the entropy method is adopted to determine the weights, and the integrated weights are also calculated. The alternatives are rated by using fuzzy TOPSIS. For final execution of the selection, an MOMILP model is developed incorporating two goals, namely to minimize the disadvantage of material handling operation and to minimize the total cost of material handling. The AUGMented E-CONtraint method (AUGMECON) is used to solve the model. A case study is given to illustrate the method. The results show the effectiveness of the hybrid method in complex decision making.

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“…The analytical models for MHD selection are not applied in industry because they frequently consider only quantifiable factors and are difficult to implement (Matson et al, 1992). Generally, all kinds of expert systems comprise heuristic knowledge-based systems and databases.…”

Section: Introductionmentioning

confidence: 99%

“…The MHD selection problem is extremely complex, and there is usually more than one good answer for any particular situation (Matson et al, 1992). The decision-maker has to consider numerous heterogeneous and competing attributes, some tangible (i.e., costs, velocity, load capacity, etc.…”

Section: Introductionmentioning

confidence: 99%

“…This incorporates a knowledge-based systems technology and database management techniques to assist the designer in selecting cost-effective MHD. Similarly, Matson et al (1992) develop an expert system characterized by a sophisticated knowledge base obtained using a new and very extensive checklist. Kim and Eom (1997) describe a material handling selection expert system called MAHSES.…”

Section: Introductionmentioning

confidence: 99%

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Material handling device selection in cellular manufacturing

Braglia

Gabbrielli

Miconi

2001

Multi Criteria Decision Anal

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This paper presents a new multi-criteria decision model for the material handling device (MHD) selection problem in cellular manufacturing systems. Given a set of manufacturing cells based on several automatic work-centres, the technique makes it possible to select a particular MHD for each cell in an integrated way, with different constraints being taken into consideration. The approach is based on two different multi-attribute analyses executed with analytic hierarchy process (AHP) methodology, and a final integer linear programming including important limitations faced by the designer when making MHD investment decisions. An example using real data is provided to illustrate this methodology

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EXCITE: Expert consultant for in-plant transportation equipment

Cited by 37 publications

References 1 publication

A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problem

A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problem

A hybrid approach for selecting material handling equipment in a warehouse

Material handling device selection in cellular manufacturing

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