Manoj Tiwari - Academia.edu (original) (raw)

Papers by Manoj Tiwari

Decision Support Systems, Dec 1, 2006

Consensus forming is a critical process in the present day computer assisted group decision-makin... more Consensus forming is a critical process in the present day computer assisted group decision-making (GDM) scenario. Most of the GDM problems are of strategic dimensions and get complicated due to their multi-criteria framework involving many subjective and quantitative factors. In this research, a technology selection problem has been considered for a manufacturing company. The problem has been modeled into a multi-person, multi-criteria and multi-preference scenario. Various preference modes have been transformed into Fuzzy Preference Relations. A soft consensus based group decision-making under linguistic assessments has been adopted here to eliminate the role of a moderator. To incorporate the offline/online characteristics in the re-evaluation phase of the discussion, a multi-agent system (MAS) based negotiation model is proposed to resolve a technology selection problem.

Local thermal hot-spots in microprocessors lead to worst-case provisioning of global cooling reso... more Local thermal hot-spots in microprocessors lead to worst-case provisioning of global cooling resources, especially in large-scale systems where cooling power can be 50~100% of IT power. Further, the efficiency of cooling solutions degrade non-linearly with supply temperature. Recent advances in active cooling techniques have shown on-chip thermoelectric coolers (TECs) to be very efficient at selectively eliminating small hot-spots. Applying current

Int J Prod Res, 2011

... Plenty of research articles have proposed different models to decrease environment loading an... more ... Plenty of research articles have proposed different models to decrease environment loading and promote ecological and economical well being in a sustainable and synergetic manner.Ongondo et al. (201112. Ongondo, FO, Williams, ID and Cherrett, TJ. 2011. ...

Http Dx Doi Org 10 1080 00207540500272980, Feb 22, 2007

Lean manufacturing philosophy asks for elimination of wastes hidden in the manufacturing system b... more Lean manufacturing philosophy asks for elimination of wastes hidden in the manufacturing system by focusing on product value stream and eliminating non-value adding activities through continuous improvement efforts. Value stream mapping methodology is subjected ...

Http Dx Doi Org 10 1080 00207543 2014 933273, Nov 26, 2014

Int J Prod Res, 2003

With the ever-growing use of the internet for electronic commerce and data mining type applicatio... more With the ever-growing use of the internet for electronic commerce and data mining type applications, there seems to be a need for new network computing paradigms that can overcome the barriers posed by network congestion and unreliability. Mobile agent ...

Http Dx Doi Org 10 1080 09537280010016783, Nov 15, 2010

This paper presents an Analytic Hierarchy Process (AHP) based decision support system to select t... more This paper presents an Analytic Hierarchy Process (AHP) based decision support system to select the most suitable casting process for a given product. The hierarchical structure of the proposed method allows the decision maker to compare the different casting processes using the material suitability and flexibility, geometrical complexity, dimensional tolerance and surface finish of the casting, and the cost as the criteria for selection. Judgemental inconsistency of the decision maker in selecting the casting process is taken care by ensuring that the value of consistency ratio is below (0.1). A numerical example is presented to illustrate the effectiveness of the proposed methodology for selecting the suitable casting process.

International Journal of Advanced Manufacturing Technology, 2007

Job sequencing and machine loading are two vital and interrelated production planning problems in... more Job sequencing and machine loading are two vital and interrelated production planning problems in flexible manufacturing systems (FMSs). In this research, attempts have been made to address the combined job sequencing and machine loading problem using minimization of system unbalance and maximization of throughput as objective functions, while satisfying the constraints related to available machining time and tool slots. This

International Journal of Advanced Manufacturing Technology, 2012

... A. Jha .K. Somani .MK Tiwari (*) Department of Industrial Engineering and Management, Indian ... more ... A. Jha .K. Somani .MK Tiwari (*) Department of Industrial Engineering and Management, Indian Institute of Technology, Kharagpur 721302, India e-mail: mkt09@hotmail.com ... Fitness values x 100000 Setup costs x 1000 Fig. ...

European Journal of Operational Research, Feb 1, 2010

We consider the bicriteria scheduling problem of minimizing the number of tardy jobs and average ... more We consider the bicriteria scheduling problem of minimizing the number of tardy jobs and average flowtime on a single machine. This problem, which is known to be NP-hard, is important in practice, as the former criterion conveys the customer's position, and the latter reflects the manufacturer's perspective in the supply chain. We propose four new heuristics to solve this multiobjective scheduling problem. Two of these heuristics are constructive algorithms based on beam search methodology. The other two are metaheuristic approaches using a genetic algorithm and tabu-search. Our computational experiments indicate that the proposed beam search heuristics find efficient schedules optimally in most cases and perform better than the existing heuristics in the literature.

Nuclear Instruments Methods in Physics Research Section B Beam Interactions With Materials and Atoms, 2008

... Xu et al. [9] reported the ω 1 and ω 2 yields deduced from the L X-ray spectra of 57 La, 60 N... more ... Xu et al. [9] reported the ω 1 and ω 2 yields deduced from the L X-ray spectra of 57 La, 60 Nd, 66 Dy, 70 Yb and 71 Lu elements induced by 2 MeV proton beam. Barrea et al. ... [7]. Recently, Badiger and Bonzi [13] also reported measurements of the L i (i = 13) subshell ...

Http Dx Doi Org 10 1080 00207543 2012 701776, Feb 1, 2013

This research aims to investigate the contributions of interorganisational relationships and know... more This research aims to investigate the contributions of interorganisational relationships and knowledge-management practices as predictors of collaborative commerce (c-commerce) adoption. A non-compensatory adoption decision process was modelled using a neural network approach to examine the predictors of c-commerce adoption. A survey was undertaken in 136 firms for this research. The results showed that both interorganisational relationships and knowledge-management processes played

Swarm Intelligence, Focus on Ant and Particle Swarm Optimization, 2007

Expert Systems With Applications, May 1, 2009

This paper introduces the algorithm portfolio concept to solve a combinatorial optimization probl... more This paper introduces the algorithm portfolio concept to solve a combinatorial optimization problem pertaining to a supply chain. The supply chain problem is modeled with capacity constraints and demand variations over different time periods to minimize the total supply chain configuration cost. The algorithm portfolio is implemented over various problem instances to inspect and alleviate the computational expensiveness of a solution strategy. A bunch of five algorithms are utilized hereby viz. AIS, GA, Endosymbiotic Optimization, PSO and Psychoclonal algorithm. The observations reflect the appropriateness and effect of algorithm portfolios over the adopted supply chain, and viability over other optimization problems.

European Journal of Operational Research, Feb 1, 2006

Machine-loading problem of a flexible manufacturing system is known for its complexity. This prob... more Machine-loading problem of a flexible manufacturing system is known for its complexity. This problem encompasses various types of flexibility aspects pertaining to part selection and operation assignments along with constraints ranging from simple algebraic to potentially very complex conditional constraints. From the literature, it has been seen that simple genetic-algorithm-based heuristics for this problem lead to constraint violations and large number of generations. This paper extends the simple genetic algorithm and proposes a new methodology, constraint-based genetic algorithm (CBGA) to handle a complex variety of variables and constraints in a typical FMS-loading problem. To achieve this aim, three new genetic operators-constraint based: initialization, crossover, and mutation are introduced. The methodology developed here helps avoid getting trapped at local minima. The application of the algorithm is tested on standard data sets and its superiority is demonstrated. The solution approach is illustrated by a simple example and the robustness of the algorithm is tested on five well-known functions.

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The primary objective of the design of a supply chain (DFSC) is the selection of an appropriate p... more The primary objective of the design of a supply chain (DFSC) is the selection of an appropriate product family. Moreover, it deals with the selection of the optimal combination among the different conflicting criteria while making a trade-off between the supply chain cost, sales profit and the product design complexities. In this research, to address the DFSC issues a product platform approach has been proposed which amalgamates the component modularity as well as the function modularity in the product design. The optimization model proposed in this paper for the product development and the supply chain design is based on a Generic Bill of Materials (GBOM) representation. The complete framework includes a vital decision-making needed for designing a robust supply chain such as locating plants to alleviate the likely dominance of production cost and market mediation cost on product variety and imparting process flexibility of the located plants. The optimization model proposed in this paper, models the supply chain cost, sales profit and product design complexity as three criteria that altogether determine the robustness of the supply chain and the underlying product development approach. The certain parameters like process flexibility, flow types and drivers of the product variety dominance have been controlled in the design framework. To resolve the complexity of the proposed model a Genetic Algorithm (GA) technique has been proposed. The proposed GA adopts an arithmetic crossover, a dynamic mutation and a variable penalty strategy to produce optimal results in a very short computational time. To validate the proposed model, a simulated case study of the wiring harness supplier of an AGV manufacturer has been studied.

Robotics and Computer Integrated Manufacturing, Dec 1, 2007

With today's highly competitive global manufacturing marketplace, the pressure for right-first-ti... more With today's highly competitive global manufacturing marketplace, the pressure for right-first-time manufacture has never been so high. New emerging data standards combined with machine data collection methods, such as in-process verification lead the way to a complete paradigm shift from the traditional manufacturing and inspection to intelligent networked process control. Low-level G and M codes offer very limited information on machine capabilities or work piece characteristics which consequently, results in no information being available on manufacturing processes, inspection plans and work piece attributes in terms of tolerances, etc. and design features to computer numerically controlled (CNC) machines. One solution to the aforementioned problems is using STEP-NC (ISO 14649) suite of standards, which aim to provide higher-level information for process control. In this paper, the authors provide a definition for process control in CNC manufacturing and identify the challenges in achieving process control in current CNC manufacturing scenario. The paper then introduces a STEP-compliant framework that makes use of self-learning algorithms that enable the manufacturing system to learn from previous data and results in eliminating the errors and consistently producing quality products. The framework relies on knowledge discovery methods such as data mining encapsulated in a process analyser to derive rules for corrective measures to control the manufacturing process. The design for the knowledge-based process analyser and the various process control mechanisms conclude the paper.

Microwave and Optical Technology Letters, Dec 20, 2002

We present our experimental findings on microstrip-type metallic photonic band gap (PBG) periodic... more We present our experimental findings on microstrip-type metallic photonic band gap (PBG) periodic structures prepared using a commercial aluminum foil. Effect of change in geometry of the periodic dielectric structure, namely, period, rectangular hole length, and defect on PBG, is studied. It is found that as the rectangular-hole-cut dimension decreases in terms of length, the lower edge of the band gap decreases toward the lower frequency side of the microwave region. It is also observed that as the defect length increases, the band gap edge again shifts toward the lower frequency side. These findings of band gap with air as substrate confirm the role of wave impedance in purely metallic periodic structures.