Browsing by Author "Matai, Rajesh"

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Agri-fresh Supply Chain Management: A Systematic Literature Review
(Springer, 2022) Matai, Rajesh
The paper presents a systematic literature review of Agri-fresh supply chain management. This study emphasizes all the supply chain stages in the context of fruits and vegetables. A total of 184 relevant research publications from the year 2000 to mid-2020 were reviewed. The literature is classified based on year, across various countries, and Agri-fresh supply chain issues. The previous literature has been categorized into different issues such as post-harvest losses, technology, infrastructure, food safety, quality, logistics management, inventory management, performance management, awareness and knowledge of farmers, demand management, and pricing. Most of the research publications have concentrated on post-harvest losses and food safety aspects of the Agri-fresh supply chain. This paper provides an insight into various issues of the Agri-fresh supply chain. It uncovers the future research scope. The study includes only fresh produce such as fruits and vegetables; other perishable items like dairy, meat, flowers are excluded.
Application of computational intelligence techniques for business performance improvement-a case of indian auto industry
(IEEE, 2024-07) Matai, Rajesh
There is a drastic reduction in registered firms in the Indian auto industry. The variation in profitability levels among the firms from different tiers of the Indian auto industry is also huge. The context in which the firms operate, as well as the issues they face, differ. The business performance of the firms is a big question. A few fundamental questions about performance enablers per firm tier and their interaction effects on reaching desired profitability have mostly gone unanswered. Based on the eight-year secondary data (2012–2019), the authors selected vital factors contributing to profitability and tested their influence on three sample firms representing different tiers using computational intelligence capabilities. Our research helped identify specific contributory factors per tier and develop the optimal combination of interaction effects among the contributory factors to achieve the desired profitability levels. No such studies exist in the literature. These studies give firms in the Indian auto industry the confidence and direction to concentrate on the critical input variable combinations and their operating levels to achieve their organizational goals and ensure business sustenance
Benefits of a collaborative liquidity management approach: a simulation study for the Indian auto value chain
(Emerald, 2024-11) Matai, Rajesh
Liquidity is a primary concern for businesses. The purpose of this study is to understand the impact of the collaborative liquidity management within the supply chain. Larger firms prescribe favorable trade terms in the transactions and do not engage in value chain vision sharing with their smaller counterparts. Smaller firms encounter challenges with liquidity and often face the risk of bankruptcy. Such practice can threaten the entire supply chain. Instead, collaborative liquidity management can offer a win–win scenario to both parties. In that case, what are the benefits of implementing a collaborative liquidity management approach across the value chain, and what is the reward?
Circular economy strategies in the automotive industry: fostering social innovation for sustainable mobility
(IEEE, 2024) Matai, Rajesh
This study explores the relationship between "Fostering Social Innovation for Sustainable Mobility" and "Circular Economy Strategies in the Automotive Industry." Using the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) method, the research assesses literature supported by eight strategy alternatives in the automotive industry. Battery Recycling & Reuse Programs emerge as a top significant strategy in the analysis, which rates the strategy alternatives and highlights the significance of circular behaviors in waste reduction. The findings also emphasize the importance of supporting socioeconomic inclusion in sustainable mobility programs. The results highlight the necessity to integrate social innovation and environmental sustainability in a balanced way to bring about transformative change in the automobile sector.
Facility Layout Problem: A State-of-the-art Review
(Vilakshan, 2010) Matai, Rajesh
This paper presents a state-of-the-art review work on facility layout problem (FLP). In the past, various review works have been presented but those were mainly focussed on particular aspects of FLP. However, no comprehensive review work covering all issues of FLP has been undertaken so far. In this paper, authors investigate past and current research work that has been carried out in all areas of FLP. In addition, the paper also reviews all mathematical formulations of FLP available in literature and classifies these accordingly into appropriate categories, such as: single-objective FLP, multi-objective facility layout problem (MFLP), Static facility layout problem (SFLP), Dynamic facility layout problem (DFLP), and Stochastic layout problem (SLP). The paper also reports methodologies to solve various formulations of FLP. Finally, it presents literature gaps and directions for future research work in FLP. [ABSTRACT FROM AUTHOR] Copyright of Vilakshan: The XIMB Journal of Management is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Force field analysis of Indian automotive strategic sourcing risk management enablers and barriers
(Emerald, 2018-09) Sharma, Satyendra Kumar; Matai, Rajesh
Strategic sourcing and supply risk management have become interesting topics of research in the recent years. Automotive industry experts are increasingly focussing on improving the supply efficiency and performance towards gaining sustainable competitive advantage. This study aims to classify, through an exhaustive review of past literature, the various enablers and barriers of strategic sourcing risk management (SSRM) and use them to identify the problems in the automobile secto
Identifying factors determining the quality of mango: a design of experiments assessment
(Emerald, 2023-08) Matai, Rajesh
Due to the recent disruptions caused by COVID-19, global supply chains are stress tested. The affected supply chains have interfered with market tonnage prices for the yield of perishable products like mangoes that are highly dependent on their quality. This research, through empirical findings, thus determines and comprehends the factors influencing mango quality (size).
Incorporating risks and costs into global sourcing decisions
(Inder Science, 2019) Sharma, Satyendra Kumar; Matai, Rajesh
The aim of this research paper is to develop a cost model that incorporates the minor cost factors that are often ignored while making major sourcing decisions. Literature review and excerpts have been studied in detail showing the progress in research over the years. An appropriate methodology was designed to do so. Several subjective factors were also quantified in order to calculate the costs. The DEA approach was used to calculate the weighted sums of inputs and outputs and hence the efficiency rate. Based on the rate, the beneficial supplier was chosen. The company allocated 200 million INR for outsourcing. The method figured out that even with the best choice being selected, approx 112 million INR would actually be consumed, taking into account many factors. A well developed approach and strategy for offshoring greatly affects the total cost of outsourcing.
The Linkages Between Spare-Parts Management and Maintenance Management in Army Supply Chain of Vehicles
(Springer, 2021-11) Matai, Rajesh
This paper endeavours to provide an insight into linkages between Spare-parts Management and Maintenance Management in Army Supply Chain of Vehicles operating in challenging, under-developed and tough areas. There is hardly any research work carried out in this niche field. But there is a great scope of improvement in army supply chains by application of the latest management techniques. The paper demystifies the salient aspect of Army supply chains for spareparts and maintenance chain. It focuses on data analysis aspects of the supply chain of spareparts for commercial pattern vehicles (CPVs) or trucks used by various Armies including VED, ABC and FNS analysis. It also carries out data analysis of various repairs of heavy and light CPVs executed by maintenance chain and brings out salient repair indices. Comparative analysis of army supply chain of spareparts and maintenance chain brings out certain voids and establishes linkages between these two chains. The synergy between supply chains of spareparts and maintenance is necessary to enhance efficiency and responsiveness of army supply chains.
A literature review on cloud computing adoption in the Indian SME manufacturing sector and the future agenda
(IEEE, 2023) Matai, Rajesh
Cloud computing is a promising new standard for delivering computing services. Cloud computing delivery is gaining more popularity in the era of Industry 4.0. In emerging countries like India, cloud-computing adoption is still nascent. India's small and medium-scale enterprises (SME) sector contributes a significant portion to the Indian GDP at 8%, and the total manufacturing output of 45% is further strengthened by employing more than 80 million persons, which is only next to agriculture. Various studies have been conducted on cloud adoption in large organisations, and few studies are in the field of SMEs worldwide. However, very few studies, almost none, have identified the problems of SMEs in the Indian context. This literature review has identified and summarised the issues of Indian SMEs. This study also strives to review articles published in Cloud computing and SMEs worldwide and examine the factors influencing cloud computing adoption in SMEs in the Indian Context, where one fits size theory will not work due to the uniqueness of Country specific.
Measuring the impact of information and communication technology investment on the profitability of Indian manufacturing MSME
(Emerald, 2024-03) Matai, Rajesh
This study aims to investigate the impact of information and communication technology (ICT) investment on the micro, small and medium enterprises (MSME) profitability in the Indian context.
A Mixed Integer Linear Goal Programming Model for Optimizing Multiple Constrained Resources Product-Mix Problem Under the Theory of Constraints
(IUP, 2014) Matai, Rajesh
Finding optimum product-mix for production systems is an important decision. Several researchers have developed algorithms to determine the product-mix under the Theory of Constraints (TOC). Literature reveals failure of the traditional TOC heuristic in determining product-mix when multiple constrained resources exist. In this paper, a Mixed Integer Linear Goal Programming (MILGP) model is proposed to deal with product-mix problem when multiple constrained resources exist. The proposed MILGP model emphasizes utilization of all bottlenecks as the primary goal and maximization of throughput as the secondary goal. The proposed model is experimented on problems cited in literature and the randomly generated ones, and the optimum results are reported by the proposed model
Modified simulated annealing based approach for multi objective facility layout problem
(Taylor & Francis, 2013-04) Matai, Rajesh
In this paper a modified simulated annealing (SA) based approach is presented for solving multi objective facility layout problem (MOFLP). It can incorporate more than two objectives that may be qualitative or quantitative in nature. Computational results show superiority of the proposed modified SA based approach for MOFLP over past approaches available in literature. To validate the proposed SA based approach, it is tested on instances taken from the literature which shows that the proposed approach provides promising results.
Multi-Objective facility layout problem: A state-of-the-art review paper
(ICFAI, 2008) Matai, Rajesh
It has been over two decade since Rosenblatt (1979) published his work on multi-objective facility layout problem (MFLP). Since then, there have been modifications/ improvements to his work. Many other models to solve MFLP have also been proposed. Similarly, many heuristics and iterative procedures have been proposed to solve multi-objective facility layout problem. However, no comprehensive review work on multi-objective facility layout problem has been undertaken so far. In this paper we review the different works of research that have been carried out in the area of multi-objective facility layout problem particularly and discuss the future research directions.
A New Discrete Bi-objective Formulation of Unequal Area Facility Layout Problem
(IEEE, 2022-01) Matai, Rajesh
This paper presents a new discrete Bi-objective formulation of the Unequal Area Facility Layout Problem (UA-FLP) by extending the Quadratic Assignment Problem (QAP) formulation available in the literature. As far as authors know, in literature, only continuous formulations for UA-FLP exist. In the proposed formulation, along with the conventional objective of material handling cost, weighted fitness cost is also included in the objective function, making it a Bi-Objective formulation. The proposed model is tested for problem sizes of n=8, 12, 15,20, 25 and 30 using Lingo 19, and optimum results are reported. These results provide a range of solutions to decision-makers to enhance their decision capabilities.
A new heuristic approach for solving facility layout problem
(Inder Science, 2013-04) Matai, Rajesh
This paper proposes a new heuristic approach for solving facility layout problem (FLP) which is traditionally formulated as quadratic assignment problem (QAP). In this paper, FLP is formulated as linear assignment problem (LAP) consisting of facility pair and location pair. Being linear in nature LAP can be solved efficiently. Solution of LAP provides lower bound on corresponding QAP formulation of FLP. Heuristic procedure is applied to solve FLP from sets of LAP solution. Proposed heuristic is tested on benchmark instances taken from literature and compared with other heuristics available in literature. Computational results show that proposed heuristic provides a good quality approximate solution. This solution can be taken as initial solution for any improvement heuristic to get optimal/near optimal solution for FLP.
A New Mixed Integer Linear Programming Formulation for Dynamic Facility Layout Problem
(IEEE, 2021) Matai, Rajesh
The literature has established that the Dynamic facility layout problem (DFLP) is an NP-hard problem and very complex to solve optimally. Therefore, heuristics and metaheuristics are widely used in literature to solve DFLP. However, heuristics and metaheuristics do not give optimal solutions most of the time. Currently, the dynamic programming (DP) approach is used in literature to solve DFLP optimally. No other technique than DP is available in the literature to solve DFLP optimally. Therefore, this paper presents a linearized formulation of DFLP, a mixed-integer linear programming (MILP) model, to solve it optimally. From the author's knowledge, no such prior attempt has been made in the literature so far—two test problems of size five and periods three generated and solved in Lingo 10 software using the proposed model. The comparison of Lingo solutions with lower bounds of both problems shows that deviation is minimal (around 0.09%), suggesting MILP solutions are optimal solutions.
A Non-greedy Local Search Heuristic for Facility Layout Problem
(Springer, 2011) Matai, Rajesh
This paper proposes a non-greedy local search heuristic for solving facility layout problem. The proposed heuristic works on non-greedy systematic pair wise exchange of two facilities, that is 2-exchange local search based on non-greedy strategy. Pair wise exchanges are accepted if the objective function value after the exchange is lowered or smaller than the average objective function increment divided by an intensity factor. Proposed heuristic is tested on commonly used Nugxx series problems and computational results show efficiency and effectiveness of proposed heuristic.
Non-greedy systematic neighbourhood search heuristic for multi-objective facility layout problem
(Inder Science, 2012-05) Matai, Rajesh
In this paper a non-greedy systematic neighbourhood search heuristic is presented for solving multi-objective facility layout problem. It can incorporate more than two objectives that may be qualitative or quantitative in nature. Computational results show superiority of our proposed heuristic algorithm than other algorithms available in literature. Finally, comparison was also made with best solution qualities for the 15 single objective test problems of Nugxx series taken from QAPLIB and this comparison also shows efficiency and effectiveness of proposed heuristic algorithm.
A non-greedy systematic neighbourhood search heuristic for solving facility layout problem
(Springer, 2013-05) Matai, Rajesh
This paper presents a new heuristic for solving a facility layout problem. The proposed heuristic works on the non-greedy systematic pairwise exchange of two facilities, that is 2-exchange neighbourhood search based on non-greedy strategy. The proposed heuristic is applied on a large number of test problems provided by different authors in the quadratic assignment problem (QAP) library (Burkard, Karisch, Rendl, J Glob Optim 10(1):391–403, 1997) with problem size ranging from 12 to 256. Out of the 135 test problems available in the QAP library, the proposed heuristic reached optimal solutions for 64 test problems and matched the best known available solution for the other 15 test problems. For the remaining 56 test problems, the proposed approach reports highly encouraging solutions for 44 test problems (within the 2 % of deviation from the optimal/best known solutions), and for the remaining 12 problems, the proposed approach provides fair solution in reasonable time. Comparison with other meta-heuristic approaches (Ro-TS, RE-TS, GEN and SA) shows the effectiveness of the proposed heuristic.