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Shamsuddin Ahmed  - - - 
Top co-authors See all
Yusoff Bin Nukman

13 shared publications

University of Malaya

Atefeh Amindoust

12 shared publications

Shamsuddin Ahmed

4 shared publications

Mohammed Abdul Wazed

1 shared publications

Chittagong University of Engineering and Technology (CUET)

4
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Publication Record
Distribution of Articles published per year 
(2011 - 2015)
Total number of journals
published in
 
4
 
Publications
Article 0 Reads 5 Citations Memetic Heuristic Approach for Solving Truck and Trailer Routing Problems with Stochastic Demands and Time Windows Seyedmehdi Mirmohammadsadeghi, Shamsuddin Ahmed Published: 04 February 2015
Networks and Spatial Economics, doi: 10.1007/s11067-014-9282-2
DOI See at publisher website
ABS Show/hide abstract
Manufacturers and service providers often encounter stochastic demand scenarios. Researchers have, thus far, considered that the deterministic truck and trailer routing problem (TTRP) cannot address the prevailing demand uncertainties and/or other complexities. The purpose of this study is to expand the deterministic TTRP model by introducing stochastic demand and time window constraints to bring the TTRP model closer to reality and solve the model in a reasonable timeframe by administering the memetic algorithm (MA). This paper presents a model that can be applied in stochastic demand conditions. To employ the MA, various crossovers, mutations and local search approaches were applied. First, two experimental tests were carried out to show the validity and consistency of the MA for solving stochastic TTRPs. The results can be compared with the VRPSDTW (vehicle routing problem with stochastic demands (VRSPD) with time windows) solution obtained using large neighbourhood search (LNS) of earlier research. The average results from Tests 1 and 2 achieved by MA are 514.927 and 516.451. However, the average result obtained by LNS is 516.877. Therefore, the MA can generate results. Thus, MA is found to be suitable for solving truck and trailer routing problem(s) under stochastic demand with a time window (TTRPSDTW). Moreover, 54 benchmark instances were modified for this case and the initial feasible solutions were generated for this purpose. The solutions were significantly improved by the MA. Also, the problems were tested using sensitivity analysis to understand the effects of the parameters and to make a comparison between the best results obtained by MA and sensitivity analysis. Since the differences between the results are small, the MA was found to be appropriate and better for solving TTRPSDTW. The paper also gives some suggestions for further research.
Article 0 Reads 4 Citations Exploitation of renewable energy for sustainable development and overcoming power crisis in Bangladesh Md Tasbirul Islam, Nissar Mohammad Karim, Shamsuddin Ahmed, ... Published: 01 December 2014
Renewable Energy, doi: 10.1016/j.renene.2014.07.003
DOI See at publisher website
Article 0 Reads 62 Citations Sustainable supplier selection: A ranking model based on fuzzy inference system Atefeh Amindoust, Ali Saghafinia, Shamsuddin Ahmed, Ardeshir... Published: 01 June 2012
Applied Soft Computing, doi: 10.1016/j.asoc.2012.01.023
DOI See at publisher website
ABS Show/hide abstract
In these days, considering the growth of knowledge about sustainability in enterprise, the sustainable supplier selection would be the central component in the management of a sustainable supply chain. In this paper the sustainable supplier selection criteria and sub-criteria are determined and based on those criteria and sub-criteria a methodology is proposed onto evaluation and ranking of a given set of suppliers. In the evaluation process, decision makers’ opinions on the importance of deciding the criteria and sub-criteria, in addition to their preference of the suppliers’ performance with respect to sub-criteria are considered in linguistic terms. To handle the subjectivity of decision makers’ assessments, fuzzy logic has been applied and a new ranking method on the basis of fuzzy inference system (FIS) is proposed for supplier selection problem. Finally, an illustrative example is utilized to show the feasibility of the proposed method. Graphical Highlight► Focusing on the limitations of Ordoobadi's work which suggested a mathematical algorithm by applying fuzzy membership functions to rank the suppliers [15] and to propose a new ranking model based on FIS to overcome the limitations. ► Considering the importance weights of sub-criteria and also criteria and to allocate these weights in the new ranking method of FIS for supplier selection problem. ► Focusing on sustainability issue in supplier selection problem and applying a modular FIS system approach to solve it.
Article 0 Reads 0 Citations Mathematical models for process commonality under quality and resources breakdown in multistage production Mohammed Abdul Wazed, Shamsuddin Ahmed, Yusoff Bin Nukman Published: 01 November 2011
Journal of Zhejiang University-SCIENCE A, doi: 10.1631/jzus.a1000477
DOI See at publisher website