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Publications

Publications by Thomy Eko Saputro

2015

A literature review on MHE selection problem: levels, contexts, and approaches

Authors
Saputro, TE; Masudin, I; Daneshvar Rouyendegh (Babek Erdebil, B;

Publication
International Journal of Production Research

Abstract

2014

Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study

Authors
Rouyendegh (Babek Erdebilli), BD; Saputro, TE;

Publication
5TH WORLD CONFERENCE ON EDUCATIONAL SCIENCES

Abstract
This study provides an overview of the fuzzy TOPSIS and Multi-Choice Goal Programming (MCGP) methods for Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. Supplier selection is mostly a complex multi-criteria problem which consists of qualitative and quantitative criteria. Those criteria should be considered advertently as a final decision in comprehensive and objective supplier selection as well. This study deal with the optimum decision making for selecting supplier and allocating order by applying the proposed method of integrated fuzzy TOPSIS and MCGP (Multi-Choice Goal Programming). To deal with the uncertain and imprecise judgment of decision makers, a Fuzzy TOPSIS is utilized to express it by triangular fuzzy numbers. The final supplier selection and order allocation are obtained by integrating the closeness coefficients to the MCGP model. A numerical example is given to clarify the main results developed in this paper. (C) 2013 The Authors. Published by Elsevier Ltd.

2016

Evaluation of B2C website based on the usability factors by using fuzzy AHP & hierarchical fuzzy TOPSIS

Authors
Masudin, I; Saputro, TE;

Publication
2ND INTERNATIONAL MANUFACTURING ENGINEERING CONFERENCE AND 3RD ASIA-PACIFIC CONFERENCE ON MANUFACTURING SYSTEMS (IMEC-APCOMS 2015)

Abstract
In today's technology, electronic trading transaction via internet has been utilized properly with rapid growth. This paper intends to evaluate related to B2C e-commerce website in order to find out the one which meets the usability factors better than another. The influential factors to B2C e-commerce website are determined for two big retailer websites. The factors are investigated based on the consideration of several studies and conformed to the website characteristics. The evaluation is conducted by using different methods namely fuzzy AHP and hierarchical fuzzy TOPSIS so that the final evaluation can be compared. Fuzzy triangular number is adopted to deal with imprecise judgment under fuzzy environment.

2017

Evaluation and selection of 3PL provider using fuzzy AHP and grey TOPSIS in group decision making

Authors
Garside, AK; Saputro, TE;

Publication

Abstract

2015

A hybrid approach for selecting material handling equipment in a warehouse

Authors
Eko Saputro, T; Daneshvar Rouyendegh (Babek Erdebil, B;

Publication
International Journal of Management Science and Engineering Management

Abstract

2019

Integration of Supplier Selection and Inventory Management under Supply Disruptions

Authors
Saputro, TE; Figueira, G; Almada Lobo, B;

Publication
IFAC PAPERSONLINE

Abstract
Procurement plays an essential role in the supply of materials for the production of goods or products. The success of procurement management to fulfill demand with high service levels and on-time delivery relies on the suppliers' performance. Suppliers should be appropriately selected to source materials with the right quality, in the right quantity, at the right time, and for the right price. The scope of this problem, as well as other aspects such as the sourcing strategy, will depend on the type of items. Critical items, which represent high-profit impacts and high supply risks, should be approached comprehensively by considering all the main activities of the procurement process. This study focuses on a supplier selection problem integrated with inventory management under a multi-sourcing strategy, by taking into account stochastic demand and supply disruptions. This problem is approached by a simulation-optimization method, composed of discrete-event simulation and a genetic algorithm (GA). Finally, a numerical example is provided to illustrate the solution procedure.