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Article
Publication date: 8 February 2019

Sanjita Jaipuria and Siba Sankar Mahapatra

The purpose of this paper is to propose a forecasting model to predict the demand under uncertain environment to control the bullwhip effect (BWE) considering…

Abstract

Purpose

The purpose of this paper is to propose a forecasting model to predict the demand under uncertain environment to control the bullwhip effect (BWE) considering review-period order-up-to level ((R, S)) inventory control policy and its different variants such as (R, βS) (R, γO) and (R, γO, βS) proposed by Jakšič and Rusjan, (2008) and Bandyopadhyay and Bhattacharya (2013).

Design/methodology/approach

A hybrid forecasting model has been developed by combining the feature of discrete wavelet transformation (DWT) and an intelligence technique, multi-gene genetic programming (MGGP), denoted as DWT-MGGP. Performance of DWT-MGGP model has been verified under (R, S) inventory control policy considering demand from three different manufacturing companies.

Findings

A comparison between DWT-MGGP model and autoregressive integrated moving average forecasting model has been done by estimating forecast error and BWE. Further, this study has been extended with analysing the behaviour of BWE considering different variants of (R, S) policy such as (R,βS) (R, γO) and (R,γO,βS) and found that BWE can be moderated by controlling the inventory smoothing (β) and order smoothing parameters (γ).

Research limitations/implications

This study is limited to different variants of (R, S) inventory control policy. However, this study can be further extended to continuous review policy.

Practical implications

The proposed DWT-MGGP model can be used as a suitable demand forecasting model to control the BWE when (R, S), (R,βS) (R,γO) and (R,γO,βS)inventory control policies are followed for replenishment.

Originality/value

This study analyses the behavior of BWE through controlling the inventory smoothing (β) and order smoothing parameters (γ) when demand is predicted using DWT-MGGP forecasting model and order is estimated using (R, S), (R,βS) (R,γO) and (R,γO,βS) inventory control policies.

Details

Journal of Modelling in Management, vol. 14 no. 2
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 26 June 2018

Deepak Mehra, Manas Mohan Mahapatra and Suraj Prakash Harsha

The advancement in modern manufacturing technology generated the need to develop new materials for better wear resistance. The purpose of this paper is to use the Taguchi…

Abstract

Purpose

The advancement in modern manufacturing technology generated the need to develop new materials for better wear resistance. The purpose of this paper is to use the Taguchi optimization approach to examine which wear parameter significantly affects weight loss and coefficient of friction for RZ5-TiC composite. It is a simple and efficient method to find performance of wear parameter using minimum experimental runs.

Design/methodology/approach

RZ5-TiC composites were prepared using RZ5 as matrix, reinforced with TiC through self-propagating high-temperature synthesis technique. In the present work, an attempt has been made to study the influence of wear parameters like applied load (AL), sliding distance (SD) and Wt.% of TiC (WTC) on responses like weight loss and coefficient of friction of RZ5/TiCp composites. The pin-on-disc apparatus used to conduct abrasive wear test. The wear process parameters are optimized for minimum wear based on L27 Taguchi orthogonal design. The Taguchi technique using design of experiments (DOE) is used to obtain the data. The ANOVA and an orthogonal array are used to examine the influence of wear parameters on responses. The purpose is to examine parametric significances which affect responses.

Findings

It observed that wear parameters have the significant influence on responses of RZ5/TiCp composites. The interaction of sliding distance/Wt.% of TiC is observed and found significant influence on both responses. The optimum level of the significant wear parameters is achieved based on the maximum S/N ratio for RZ5/TiCp composites. The optimal interaction for weight loss and coefficient of friction is AL1-SD1-WTC3 and AL3-SD1-WTC3, respectively. Finally, the confirmation test is conducted and the results are obtained within the confidence interval.

Originality/value

The current manuscript provides an optimization of wear parameters using Taguchi approach. The extensive experimental data are used for this purpose and effects of wear parameters on responses are analyzed from the presented results. The results obtained are useful in improving the wear resistance of the RZ5-TiC composite.

Details

Industrial Lubrication and Tribology, vol. 70 no. 5
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 3 June 2019

Santosh K. Mahapatra, Ram Narasimhan and Paolo Barbieri

The purpose of this paper is to examine the buyer–supplier exchange dynamic in terms of the influence of product and market contingencies on the interfirm connectivity…

Abstract

Purpose

The purpose of this paper is to examine the buyer–supplier exchange dynamic in terms of the influence of product and market contingencies on the interfirm connectivity, governance and exchange performance of interconnected dyads in multitier supply chains (MSCs).

Design/methodology/approach

Using an inductive approach, the authors analyzed the supply network of a high-end motorcycle manufacturer (OEM). Four sets of “interconnected dyads” constituting four embedded units of analysis were considered, each involving the OEM, its tier 1 and corresponding tier 2 suppliers. These interconnected dyads representing four strategic components and their sub-components offer contrasts in terms of product and market contingencies.

Findings

This analysis reveals that product and market contingencies influence patterns of dependence among firms. These in turn impact interfirm connectivity (i.e. structural characteristic), and the degree of contract formalization, collaboration and concentration of decision-making power (i.e. governance characteristics) in the interconnected dyads. The authors also found that structural and governance aspects can have mutual influence, leading to satisfactory or unsatisfactory outcomes. Propositions synthesizing the relationships among the constructs are developed.

Research limitations/implications

The constructs and their underlying relationships need to be further refined if we are to devise hypotheses and validate them at a large-scale empirical level.

Originality/value

This is one of the first studies to explore the influence of business contingencies on the complex buyer–supplier exchange dynamic in MSCs having a “beyond the dyad” perspective. The authors address why and how various types of interconnectivity are developed, and how the interplay among interfirm dependence, connectivity and governance influences the suppliers’ performance in the MSCs.

Details

International Journal of Operations & Production Management, vol. 39 no. 5
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 16 April 2020

Hanna Lee and Sun-Jin Hwang

The purpose of this paper is to explore and examine the different word-of-mouth (WOM) acceptance and diffusion in social brand communities according to the level of…

Abstract

Purpose

The purpose of this paper is to explore and examine the different word-of-mouth (WOM) acceptance and diffusion in social brand communities according to the level of self-monitoring.

Design/methodology/approach

A web-based experimental design was used. The design consisted of three-mixed design of 2 (type of social networking sites) × 2 (type of online brand communities) × 2 (self-monitoring). ANOVA analysis was conducted.

Findings

Findings indicate that the differences in acceptance and diffusion of WOM according to online brand community type, and there was a significant three-way interaction effect. Specifically, people who have high propensity to self-monitor showed greater WOM acceptance in a consumer-driven community in either type of social networking sites while people who have low propensity to self-monitor showed greater WOM diffusion in a consumer-driven community only in interest-based social networking sites.

Practical implications

An important implication is that the social networking sites where brand communities can be placed should be chosen with the full consideration of different desires consumers have in terms of their level of self-monitoring to increase WOM effects.

Originality/value

This paper proposes the self-monitoring tendency as the key factor that predicts WOM effects with revealing the optimal combination of types of social networking sites and online brand communities that is most preferable for consumers with different self-monitoring level.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 25 no. 1
Type: Research Article
ISSN: 1361-2026

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Article
Publication date: 2 September 2019

Ehsan Abedi, Davood Ghorbanzadeh and Atena Rahehagh

Today, consumers play an active role in creating, generating and distributing the electronic word of mouth (eWOM) independent of marketers. Customer acquisition through…

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1761

Abstract

Purpose

Today, consumers play an active role in creating, generating and distributing the electronic word of mouth (eWOM) independent of marketers. Customer acquisition through referrals and word of mouth (WOM) has thus become an important goal for firms. In addition, mobile social networks have created valuable opportunities for eWOM. People are now able to discuss products and services of brands with their friends and acquaintances. The purpose of this paper is to examine the influence of eWOM information on consumers’ behavioral intentions in mobile social networks.

Design/methodology/approach

This study employed the information adoption model (IAM), theory of reasoned action and social exchange theory to investigate the influence of eWOM information on consumers’ behavioral intentions in mobile social networks. The study used 394 respondents to evaluate the proposed model using SmartPLS software.

Findings

Results show that the quality and credibility of eWOM information has a positive direct effect on perceived information usefulness. Attitude toward eWOM information mediates the influence of perceived information usefulness on information adoption. Also, attitude toward eWOM information has a significant positive influence on behavioral intentions, such as purchase intention and forwarding of eWOM information. However, information adoption does not have any significant relationship with the forwarding of eWOM information.

Research limitations/implications

This study seeks to address the dearth of research in the field of mobile social networks, especially regarding eWOM information. The study proposes a new model and empirically validates the hypothesized relationships. This research can serve as a stepping-stone for future research in this field.

Practical implications

This research is one of the first studies focusing on the influence of eWOM information, especially in mobile social networks. The research offers comprehensive and empirically validated factors pertaining to eWOM information in mobile social networks. The results of this study may be useful also for practitioners and managers of online companies.

Originality/value

A new eWOM IAM in mobile social networks is proposed based on information characteristics and consumer behavior. The model is validated afterward.

Details

Journal of Advances in Management Research, vol. 17 no. 1
Type: Research Article
ISSN: 0972-7981

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Article
Publication date: 14 May 2019

Mehdi Zare and Sadegh Sadeghi

This study aims to perform a comprehensive investigation to model the thermal characteristics of a coupled conduction-radiation heat transfer in a two-dimensional…

Abstract

Purpose

This study aims to perform a comprehensive investigation to model the thermal characteristics of a coupled conduction-radiation heat transfer in a two-dimensional irregular enclosure including a triangular-shaped heat source.

Design/methodology/approach

For this purpose, a promising hybrid technique based on the concepts of blocked-off method, FVM and DOM is developed. The enclosure consists of several horizontal, vertical and oblique walls, and thermal conductivity within the enclosure varies directly with temperature and indirectly with position. To simplify the complex geometry, a promising mathematical model is introduced using blocked-off method. Emitting, absorbing and non-isotropic scattering gray are assumed as the main radiative characteristics of the steady medium.

Findings

DOM and FVM are, respectively, applied for solving radiative transfer equation (RTE) and the energy equation, which includes conduction, radiation and heat source terms. The temperature and heat flux distributions are calculated inside the enclosure. For validation, results are compared with previous data reported in the literature under the same conditions. Results and comparisons show that this approach is highly efficient and reliable for complex geometries with coupled conduction-radiation heat transfer. Finally, the effects of thermo-radiative parameters including surface emissivity, extinction coefficient, scattering albedo, asymmetry factor and conduction-radiation parameter on temperature and heat flux distributions are studied.

Originality/value

In this paper, a hybrid numerical method is used to analyze coupled conduction-radiation heat transfer in an irregular geometry. Varying thermal conductivity is included in this analysis. By applying the method, results obtained for temperature and heat flux distributions are presented and also validated by the data provided by several previous papers.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 30 no. 4
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 3 October 2016

Dilip Kumar Sen, Saurav Datta and S.S. Mahapatra

Robot selection is a critical decision-making task frequently experienced in almost every industries. It has become increasingly complex due to availability of large…

Abstract

Purpose

Robot selection is a critical decision-making task frequently experienced in almost every industries. It has become increasingly complex due to availability of large variety of robotic system in the present market with varying configuration, specification and flexibility. Improper selection may yield loss for the company in terms of potential profit as well as productivity. Hence, selection of an appropriate robot to suit a particular industrial application is definitely a challenging task. The paper aims to discuss these issues.

Design/methodology/approach

During robot selection, different criteria-attributes need to be taken under consideration. Criteria may be subjective or objective or a combination of both, depending on the situation. Criteria many be conflicting, in the sense that some criteria may require to be of higher value (higher-is-better), i.e. beneficial; while, others should correspond to lower values (lower-is-better), i.e. adverse or non-beneficial. Hence, the situation can be articulated as a multi-criteria decision-making problem. The specialty of Tomada de Decisión Inerativa Multicritero (TODIM) method is that it explores a global measurement of value calculable by the application of the paradigm of non-linear cumulative prospect theory. The method is based on a description, proved by empirical evidence, of how decision makers’ effectively make decisions in the face of risk.

Findings

Hence, the present work has aimed to explore the TODIM approach for industrial robot selection. Assuming all criteria have been quantitative in nature; the paper utilizes two different numeric data sets from available literature resource in perspectives of robot selection. Procedural hierarchy and application potential of the TODIM approach has been illustrated in detail in this reporting.

Originality/value

Variety of tools and techniques have already been documented in literature to solve different kinds of industrial decision-making problems; however, it seems that application of TODIM has got limited usage. Hence, application potential of TODIM has been demonstrated here in light of a robot selection problem.

Details

Benchmarking: An International Journal, vol. 23 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 27 September 2021

Soroosh Saghiri and Vahid Mirzabeiki

This paper aims to explore how omni-channel data flows should be integrated by specifying what data, omni-channel agents and information and digital technologies (IDTs…

Abstract

Purpose

This paper aims to explore how omni-channel data flows should be integrated by specifying what data, omni-channel agents and information and digital technologies (IDTs) should be considered and connected.

Design/methodology/approach

A multiple case study method is used with 17 British companies. The studies are supported by 68 interviews with the case companies and their consumers, 5 site visits, 4 focus group meetings and the companies’ archival data and documentations.

Findings

This paper provides novel frameworks for omni-channel data flow integration from consumer and business perspectives. The frameworks consist of omni-channel agents, their data transactions and their supporting IDTs. Relatedly, this paper formalizes the omni-channel data flow integration in the forms of horizontal, vertical and total integrations and explores their contributions to the adaptability of omni-channel, as a complex adaptive system (CAS). It also discusses that how inter-organizational governance mechanisms can support data flow integration and their relevant IDT implementations.

Research limitations/implications

The breadth and depth of the required IDTs for omni-channel integration prove the necessity for omni-channel systems to move toward total integration. Therefore, supported by CAS and inter-organizational governance theories, this research indicates how data flow integration and IDT can transform the omni-channel through self-organization and autonomy capability enhancement.

Originality/value

This research’s recommended frameworks provide a robust platform to formalize data flow integration as the omni-channel's core driver. Accordingly, it moves the literature from a basic description of “what omni-channel is” and provides a novel and significant debate on what specific data should be shared at what levels between which agents of the omni-channel, and with what type of relationship governance mechanism, to assure omni-channel horizontal, vertical and total integrations.

Details

International Journal of Operations & Production Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 3 October 2016

Chhabi Ram Matawale, Saurav Datta and S.S. Mahapatra

The recent global market trend is seemed enforcing existing manufacturing organizations (as well as service sectors) to improve existing supply chain systems or to take…

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1068

Abstract

Purpose

The recent global market trend is seemed enforcing existing manufacturing organizations (as well as service sectors) to improve existing supply chain systems or to take up/adapt advanced manufacturing strategies for being competitive. The concept of the agile supply chain (ASC) has become increasingly important as a means of achieving a competitive edge in highly turbulent business environments. An ASC is a dynamic alliance of member enterprises, the formation of which is likely to introduce velocity, responsiveness, and flexibility into the manufacturing system. In ASC management, supplier/partner selection is a key strategic concern. Apart from traditional supplier/partner selection criteria; different agility-related criteria/attributes need to be taken under consideration while selecting an appropriate supplier in an ASC. The paper aims to discuss these issues.

Design/methodology/approach

Therefore, evaluation and selection of potential supplier in an ASC have become an important multi-criteria decision making problem. Most of the evaluation criteria being subjective in nature; traditional decision-making approaches (mostly dealing with objective data) fail to solve this problem. However, fuzzy set theory appears an important mean to tackle with vague and imprecise data given by the experts. In this work, application potential of the fuzzy multi-level multi-criteria decision making (FMLMCDM) approach proposed by Chu and Velásquez (2009) and Chu and Varma (2012) has been examined and compared to that of Fuzzy-techniques for order preference by similarity to ideal solution (TOPSIS) and Fuzzy-MOORA in the context of supplier selection in ASC.

Findings

It has been observed that similar ranking order appears in FMLMCDM as well as Fuzzy-TOPSIS. In Fuzzy-MOORA, the best alternative appears same as in case of FMLMCDM as well as Fuzzy-TOPSIS; but for other alternatives ranking order differs. A comparative analysis has also been made in view of working principles of FMLMCDM, Fuzzy-TOPSIS as well as Fuzzy-MOORA.

Originality/value

Application feasibility of FMLMCDM approach has been verified in comparison with Fuzzy-TOPSIS and Fuzzy-MOORA in the context of agile supplier selection.

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Article
Publication date: 7 April 2015

Sanjita Jaipuria and S. S. Mahapatra

The purpose of this paper is to provide a simulation modelling framework to examine the behaviour of a serial make-to-stock (MTS) manufacturing system under the influence…

Abstract

Purpose

The purpose of this paper is to provide a simulation modelling framework to examine the behaviour of a serial make-to-stock (MTS) manufacturing system under the influence of various uncertainties. Further, the study analyses effect of propagation uncertainties from lower to upper stream of supply chain.

Design/methodology/approach

System dynamics modelling approach has been adopted for modelling and analysing the behaviour of a serial MTS manufacturing system under the influence of different uncertainties such as demand, supplier acquisition rate, raw material (RM) supply lead time, processing time and delay due to machine failure. The backup supply strategy has been proposed to mitigate the adverse effect of the RM supply uncertainty.

Findings

The effect of variations of various factors on the performance of a MTS manufacturing supply chain in measured through various performance measures like work-in-progress (WIP) inventory, backlog and RM shortage at both manufacturer’s and supplier’s end. The benefit of adopting backup supply strategy under RM supply uncertainty is demonstrated.

Research limitations/implications

This work is limited to analysis of a serial MTS manufacturing system dealing with a single product having two machines only. The study can be easily extended to a more complex system with multiple machines, lines and products.

Practical implications

A simple simulation framework has been proposed to analyse the effect of various uncertainties on the performance of a MTS manufacturing system. The managers can simulate complex systems using simulation approaches to generate if-then scenarios to gain insight into practical problems and formulate strategies to mitigate adverse effect of uncertainties at various level of supply chain.

Originality/value

The study analyses behaviour of MTS manufacturing system under the effect of various uncertainties operating simultaneously in the system. A backup supplier strategy is proposed to improve the service level at the customer’s end through improving service level at the supplier’s end. Similarly, effective strategies can be tested with the proposed simple model to reduce the effect of uncertainty at different levels of the supply chain.

Details

Benchmarking: An International Journal, vol. 22 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

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