International Journal of Advanced Operations Management (7 papers in press)
Evaluating the performance of robust and stochastic programming approaches in a supply chain network design problem under uncertainty
by Reza Babazadeh, Ali Sabbaghnia
Abstract: Todays, organizations have focused on improving their supply chain performance to achieve sustainable profit and proceed in volatile markets. The nature of todays volatile markets imposes parametric uncertainty to optimization problems particularly in strategic decision making problems such as supply chain network design (SCND) problem. Two-stage stochastic programming (TSSP) and robust stochastic programming (RSP) approaches are widely used to deal with the uncertainty of optimization problems. In this paper, the performance of these two approaches in a SCND problem is evaluated through conducting a case study in Iran and performing realization process. The main objectives of this study are optimizing three stage SCND problem under uncertainty and evaluating the performance of TSSP and RSP methods in optimizing SCND problem under uncertainty. The results show that the RSP method leads to more robust solution than TSSP method. Also, the RSP method has more degree of flexibility to deal with the uncertainty according to DM preferences.
Keywords: Supply chain network design; Uncertainty; Two-stage stochastic programming; Robust Stochastic programming; supply chain management.
Implementation of Simulation for the Analysis of Available Layout Alternatives of Manufacturing Plant
by Parveen Sharma
Abstract: The analysis of quantitative factors is very complicated and necessary part for any industrial/practical problem. In the present study a simulation based approached has been proposed for analyzing such data. In the proposed approach various layout models have been developed and analyzed based on some selected factors. The % machine utilization, total exits, total average time in the system, and total average time blocked have been considered as factors for the evaluation. There can be more than one alternative layout for one industry. The proposed study demonstrates that the performance of the each alternative is highly affected by some factors (i.e. % machine utilization). The effect of some factors are ignorable on the performance of the layout, it is one of the output of the proposed study.
Keywords: Simulation; performance analysis; facility layout; ProModel.
A hybrid lion optimization algorithm to solve the flexible job shop scheduling problems
by MARIAPPAN KADARKARAINADAR MARICHELVAM
Abstract: This paper addresses the ﬂexible job shop scheduling problem (FJSP) with makespan criterion. The FJSP has been proved to be strongly NP-hard. The FJSP is a generalization and extension of the classical job shop scheduling problem (JSP). As the problem is NP-hard, exact solution techniques cannot be used to tackle the problem. Researchers have proposed several heuristics and meta-heuristics to solve the problem. The lion optimization algorithm is one of the recently developed meta-heuristic algorithms. A hybrid lion optimization algorithm (HLOA) is proposed in the present work to solve the FJSP. A heuristic is hybridized with the LOA to improve the solution quality. To the best of our knowledge this is the first reported application of the LOA to solve the scheduling problems. The performance of the proposed algorithm is tested with two different sets of benchmark problems addressed in the literature. Computational results substantiate the effectiveness of the proposed algorithm.
Keywords: scheduling; flexible job shop; NP-hard; makespan; lion optimization algorithm.
Contributions to the Planning of Human Resources in the Territorial Level
by Rodobaldo Martínez Vivar, Alexander Sánchez Rodriguez, Clara Elena Marrero Fornaris, Reyner Pérez Campdesuner, Gelmar Garcia Vidal
Abstract: Human resource planning at the territorial level is an essential requirement which contributes to decision making, both corporate and territorial levels, hence the need to observe this phenomenon with a prospective and systemic approach to ensure human resources in quantity and quality required for the performance of activity levels in the short, medium and long term. These elements characterize this paper, which bases its study on the main theoretical observations made of the literature on the subject, providing a tool with the capability to determine the human resource requirements at the territorial level. This research aims to design and apply a procedure for the planning of human resources at the territorial level, characterized by its systemic, prospective and control nature. The main results of the applications are reflected in the improvement of the efficiency and effectiveness indicators, highlighting a reduction of the deficit of human resources in the territory of 33.4% and a decrease of the surplus of 30.7%, achieving a better use and availability of human capacities installed in the territory as a contribution to its prospective development.
Keywords: Human resource planning; territorial level; human resource management; corporate level; human resource requirements.
Identifying significant drivers for sustainable practices in achieving sustainable food supply chain using modified fuzzy Decision-Making Trial and Evaluation Laboratory approach
by Lanndon A. Ocampo, Zhyla Vee A. Villegas, Jay-ann T. Carvajal, Cherry-Ann A. Apas
Food manufacturing supply chain is usually characterized by various sustainability issues along with product quality and safety as serious concerns. In the current literature, the identification of drivers that would promote sustainable supply chain management becomes a popular theme and draws significant attention from domain scholars. Despite its popularity both in theory and practice, current works fail to ground these drivers on target sustainability practices which would have provided direct vertical links. Thus, this study attempts to identify sustainability drivers for food manufacturing supply chain management with the goal of making the target sustainable practices as grounds for the identification process. The fuzzy set theory is used to handle the vagueness associated with the elicitation of the degree of impact relations of drivers and practices by expert decision-makers and decision-making trial and evaluation laboratory approach is used to identify significant causal relations of drivers to practices. Findings suggest that the (1) accessibility to products, services, and employment, (2) objective fulfillment, accurate supplier negotiation, accessibility of information, and (3) socially responsible business practices are the significant drivers that promote most sustainable practices.
Keywords: sustainable supply chain management; sustainability drivers; sustainable practices; food supply chain; fuzzy set theory; decision-making trial and evaluation laboratory.
Selection of optimal machining parameters using integrated MCDM approaches
by Mohammad Asjad, Faisal Talib
Abstract: In present work, the effect of three controllable parameters (table speed, feed per tooth and depth of cut) in a CNC milling machine on material removal rate and surface roughness have been investigated by three Multi Criteria Decision Making Techniques (MCDMs). Nine experiments as per Taguchis standard L9 orthogonal array were performed on the machine parameters of a CNC milling machine. Subsequently, multi-response optimization was performed using grey relational analysis (GRA), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Multi-objective optimization by ratio analysis (MOORA) coupled with principal component analyses (PCA). The results revealed that the same optimal condition has been obtained by all the three techniques. Thus, it may be concluded that the three techniques behaves equally good for obtaining the optimal parameters of a CNC milling machine and these techniques are simple as well as effective for solving the multi-response optimization problem. This piece of research work will be helpful to academician, researchers, and other stakeholders in understanding the importance, severity and benefits obtained by the application, implementation and optimization of the controllable parameters of a CNC milling machine using GRA, TOPSIS and MOORA.
Keywords: CNC milling Machine; machining parameters; Grey relational analysis; TOPSIS; MOORA; Principal component analysis.
Key Performance Indicators versus Business Process Metrics
by Peter Schmidt, Jozef Stasak
Abstract: This paper deals with conceptual model of Business Process Linguistic Modelling Strategy Creator. There are discussed principal theoretical aspects concerned to its structure and functionality, especially business process performance quantification via KPI indicators and indicators, which create an integral part of business process internal and external metrics, as well as simulation and optimization capabilities, which that creator might provide within its functionality. However, that paper deals with structure and functionality elements of Business Process Linguistic Modelling Strategy Creator alone as well.rnrn
Keywords: business process linguistic modelling strategy creator; simulation aspects; optimization aspects.