A parallel machine extension to aversion dynamics scheduling
, Pages 525-534
Gary W. Black and Kenneth N. McKay PDF (309 K)
Abstract: The aversion dynamics research agenda has incorporated within dispatching heuristics a number of real-world observations involving risk mitigation practices used by real schedulers. One such observation is that schedulers occasionally offload risky jobs from a primary machine to otherwise less desirable machine (older, slower) during periods of peak load to avoid the effects the risky job can have on subsequent jobs. This paper examines this situation within the proportional parallel machine environment. Safety time is used to adjust dispatching priorities of risky jobs to reflect the aversion. The effect of various safety time values on performance is studied. Robust safety time values and/or intervals are identified across a variety of experimental factors related to risk level, percent risky jobs in the job stream, and due date distribution.
Keywords: Aversion dynamics, Scheduling, Risk mitigation, Safety time, Job re-sequencing
An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems
, Pages 535-560
R. Venkata Rao and Vivek Patel PDF (669K)
Abstract: Nature inspired population based algorithms is a research field which simulates different natural phenomena to solve a wide range of problems. Researchers have proposed several algorithms considering different natural phenomena. Teaching-Learning-based optimization (TLBO) is one of the recently proposed population based algorithm which simulates the teaching-learning process of the class room. This algorithm does not require any algorithm-specific control parameters. In this paper, elitism concept is introduced in the TLBO algorithm and its effect on the performance of the algorithm is investigated. The effects of common controlling parameters such as the population size and the number of generations on the performance of the algorithm are also investigated. The proposed algorithm is tested on 35 constrained benchmark functions with different characteristics and the performance of the algorithm is compared with that of other well known optimization algorithms. The proposed algorithm can be applied to various optimization problems of the industrial environment.
Keywords: Teaching-learning-based optimization, Elitism, Population size, Number of generations, Constrained optimization problems
Framework for benchmarking online retailing performance using fuzzy AHP and TOPSIS method
, Pages 561-576
Golam Kabir and M. Ahsan Akhtar Hasin PDF (385 K)
Abstract: Due to increasing penetration of internet connectivity, on-line retail is growing from the pioneer phase to increasing integration within people's lives and companies' normal business practices. In the increasingly competitive environment, on-line retail service providers require systematic and structured approach to have cutting edge over the rival. Thus, the use of benchmarking has become indispensable to accomplish superior performance to support the on-line retail service providers. This paper uses the fuzzy analytic hierarchy process (FAHP) approach to support a generic on-line retail benchmarking process. Critical success factors for on-line retail service have been identified from a structured questionnaire and literature and prioritized using fuzzy AHP. Using these critical success factors, performance levels of the ORENET an on-line retail service provider is benchmarked along with four other on-line service providers using TOPSIS method. Based on the benchmark, their relative ranking has also been illustrated.
Keywords: Benchmarking, Fuzzy AHP, On-line retail service providers TOPSIS
Parametric optimization during machining of AISI 304 Austenitic Stainless Steel using CVD coated DURATOMIC cutting insert
, Pages 577-586
M. Kaladhar K. Venkata Subbaiah and Ch. Srinivasa Rao PDF (169K)
Abstract: In this work, Taguchi method is applied to determine the optimum process parameters for turning of AISI 304 austenitic stainless steel on CNC lathe. A Chemical vapour deposition (CVD) coated cemented carbide cutting insert is used which is produced by DuratomicTM technology of 0.4 and 0.8 mm nose radii. The tests are conducted at four levels of Cutting speed, feed and depth of cut. The influence of these parameters are investigated on the surface roughness and material removal rate (MRR). The Analysis Of Variance (ANOVA) is also used to analyze the influence of cutting parameters during machining. The results revealed that cutting speed significantly (46.05%) affected the machined surface roughness values followed by nose radius (23.7%). The influence of the depth of cut (61.31%) in affecting material removal rate (MRR) is significantly large. The cutting speed (20.40%) is the next significant factor. Optimal range and optimal level of parameters are also predicted for responses.
Keywords: CVD coated cemented carbide, Surface roughness, MRR, AISI 304 austenitic stainless steel, Taguchi method, ANOVA
A comprehensive bibliography on effectiveness measurement of manufacturing systems
, Pages 587-606
Sanjeev Goyal and Sandeep Grover PDF (279K)
Abstract: Globalization has put fierce competition for manufacturing managers in terms of flexibility, smaller lead times, competitive costs, etc. To attain these capabilities, manufacturing managers are taking heedless decisions for investing in advanced manufacturing technologies, without measuring their actual effectiveness for their organisations. There is a need to measure the effectiveness of manufacturing systems to make better future policies and investment planning. This paper provides a comprehensive bibliography on the techniques and their rationale in the effectiveness measurement of advanced manufacturing systems. The paper cites 265 articles from a variety of published sources. The list contains published research mainly from 1990 to 2012 and a selected published work prior to 1990.
Keywords: Effectiveness Measurement, Manufacturing Systems, Advanced Manufacturing Systems, MADM Techniques
A disruption production model with exponential demand
, Pages 607-616
U. K. Khedlekar PDF (1096K)
Abstract: In general, production system often gets disrupted due to uncertainty and un-planned events, which also affect demands resulting in less abet-margin of a company. With disrupted production system, management would need to study the variation of demand pattern and disruption of system; we have attempted an effort to establish an exponential demand with the production system and solved analytically the problem to determine production time before and after disruptions. Exponentially demand pattern studied, and also we simulate for sensitivity analysis in order to find which parameter is getting significant change for the proposed model.
Keywords: Inventory, Disrupted Production System, Deterioration, Optimal Time
A two-phase fuzzy programming model for a complex bi-objective no-wait flow shop scheduling
, Pages 617-626
Mahdi Naderi-Beni Reza Tavakkoli-Moghaddam, Bahman Naderi, Ehsan Ghobadian and Alireza Pourrousta PDF (254 K)
Abstract: In this paper, we study no-wait flow shop problem where setup times depend on sequence of operations. The proposed problem considers sequence-independent removal times, release date with an additional assumption that there are some preliminary setup times. There are two objectives of weighted mean tardiness and makespan associated with the proposed model of this paper. We formulate the resulted problem as a mixed integer programming, where a two-phase fuzzy programming is implemented to solve the model. To examine the performance of the proposed model, we generate several sample data, randomly and compare the results with other methods. The preliminary results indicate that the proposed two-phase model of this paper performed relatively better than Zimmerman's single-phase fuzzy method.
Keywords: Flowshop, No-wait, Setup times, Removal times, bi-objective, Two phase fuzzy programming
Evolutionary approaches for scheduling a flexible manufacturing system with automated guided vehicles and robots
, Pages 627-648
Chandramouli Anandaraman ArunVikram Madurai Sankar and Ramaraj Natarajan PDF (1140 K)
Abstract: This paper addresses the scheduling of machines, an Automated Guided Vehicle (AGV) and two robots in a Flexible Manufacturing System (FMS) formed in three loop layouts, with objectives to minimize the makespan, mean flow time and mean tardiness. The scheduling optimization is carried out using Sheep Flock Heredity Algorithm (SFHA) and Artificial Immune System (AIS) algorithm. AGV is used for carrying jobs between the Load/Unload station and the machines. The robots are used for loading and unloading the jobs in the machines, and also used for transferring jobs between the machines. The algorithms are applied for test problems taken from the literature and the results obtained using the two algorithms are compared. The results indicate that SFHA performs better than AIS for this problem.
Keywords: Sheep Flock Heredity, Algorithm Artificial Immune System, AGV, Robots, FMS scheduling, Multi objective optimization
A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection
, Pages 649-662
Balaram Dey Bipradas Bairagi, Bijan Sarkar and Subir Sanyal PDF (152 K)
Abstract: To acquire the competitive advantages in order to survive in the global business scenario, modern companies are now facing the problems of selecting key supply chain strategies. Strategy selection becomes difficult as the number of alternatives and conflicting criteria increases. Multi criteria decision making (MCDM) methodologies help the supply chain managers take a lead in a complex industrial set-up. The present investigation applies fuzzy MCDM technique entailing multi-objective optimization on the basis of ratio analysis (MOORA) in selection of alternatives in a supply chain. The MOORA method is utilized to three suitable numerical examples for the selection of supply chain strategies (warehouse location selection and vendor/supplier selection). The results obtained by using current approach almost match with those of previous research works published in various open journals. The empirical study has demonstrated the simplicity and applicability of this method as a strategic decision making tool in a supply chain.
Keywords: Supply chain; warehouse location selection; vendor selection; fuzzy multi-criteria decision making; MOORA
An economic lot and delivery scheduling problem with the fuzzy shelf life in a flexible job shop with unrelated parallel machines
, Pages 663-680
S. Dousthaghi and R. Tavakkoli-Moghaddam PDF (336K)
Abstract: This paper considers an economic lot and delivery scheduling problem (ELDSP) in a fuzzy environment with the fuzzy shelf life for each product. This problem is formulated in a flexible job shop with unrelated parallel machines, when the planning horizon is finite and it determines lot sizing, scheduling and sequencing, simultaneously. The proposed model of this paper is based on the basic period (BP) approach. In this paper, a mixed-integer nonlinear programming (MINLP) model is presented and then it is changed into two models in the fuzzy shelf life. The main model is dependent to the multiple basic periods and it is difficult to solve the resulted proposed model for large-scale problems in reasonable amount of time; thus, an efficient heuristic method is proposed to solve the problem. The performance of the proposed model is demonstrated using some numerical examples.
Keywords: Lot and delivery scheduling, Flexible job shop, Unrelated parallel machines, Fuzzy shelf life
Bi-objective supply chain problem using MOPSO and NSGA-II
, Pages 681-694
Hassan Javanshir Sadoullah Ebrahimnejad and Samaneh Nouri PDF (307 K)
Abstract: The increase competition and decline economy has increased the relevant importance of having reliable supply chain. The primary objective of many supply chain problems is to reduce the cost of services and, at the same time, to increase the quality of services. In this paper, we present a multi-level supply chain network by considering multi products, single resource and deterministic cost and demand. The proposed model of this paper is formulated as a mixed integer programming and we present two metaheuristics namely MOPSO and NSGA-II to solve the resulted problems. The performance of the proposed models of this paper has been examined using some randomly generated numbers and the results are discussed. The preliminary results indicate that while MOPSO is able to generate more Pareto solutions in relatively less amount of time, NSGA-II is capable of providing better quality results.
Keywords: Supply Chain, Bi-objective optimization, MOPSO, NSGA-II, Supply chain network design responsiveness
A note on "An economic order quantity (EOQ) for items with imperfect quality and inspection errors"
, Pages 695-702
Lie-Fern Hsu PDF (82K)
Abstract: In a previously published paper by Khan et al. (2011) [Khan, M., Jaber, M.Y., & Bonney M. (2011). An economic order quantity (EOQ) for items with imperfect quality and inspection errors, International Journal of Production Economics, 133, 113-118], we found that there is a contradiction between the cycle length and the holding cost per cycle. To obtain the cycle length, the authors assumed that the returned items from the market were replaced with good quality items. However, for the holding cost per cycle, the authors implicitly assumed that the returned items were not replaced by good quality items. In this note, we first point out the contradiction. Then we fix this flaw and develop a corrected EOQ.
Keywords: EOQ, Imperfect quality, Misclassification errors
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