Search results

1 – 10 of 32
Article
Publication date: 14 July 2022

Veer Shivajee, Rajesh Kumar Singh and Sanjay Rastogi

This study aims to provide a rich learning opportunity from COVID-19 crisis for making resilient supply chain by adopting new strategies for the procurement system.

1611

Abstract

Purpose

This study aims to provide a rich learning opportunity from COVID-19 crisis for making resilient supply chain by adopting new strategies for the procurement system.

Design/methodology/approach

The systematic literature review has been conducted from the year 2012 to 2022 with the objective of developing procurement system for resilient supply chain. Fifty-four research papers are selected for this study.

Findings

The study exhibits that procurement function makes a significant contribution in creating supply chain resilience in the time of COVID-19 pandemic. The COVID-19 emergency has enforced companies to operate in new ways to face supply chain disruptions. The new strategies and actions appropriate for resilient procurement system have been identified.

Research limitations/implications

This study is limited to the papers that were indexed in the Scopus database. It has also been limited to the procurement function and supply chain resilience.

Practical implications

This research highlights strategies for supply chain resilience to improve the business performance in COVID-19 or similar types of crisis.

Originality/value

The originality of this paper is to identify the strategies and new practices followed in procurement function to improve the supply chain resilience. This study suggests directions for future research on the integration of procurement and manufacturing for making resilience in the supply chain.

Details

Journal of Global Operations and Strategic Sourcing, vol. 16 no. 2
Type: Research Article
ISSN: 2398-5364

Keywords

Article
Publication date: 3 February 2023

Surya Prakash, Anubhav Arora, Nilaish, Chandra Prakash and Ashish Srivastava

The purpose of this study is to address supplier evaluation and selection in a constrained environment of advance purchasing. The study presents the potential solutions to…

Abstract

Purpose

The purpose of this study is to address supplier evaluation and selection in a constrained environment of advance purchasing. The study presents the potential solutions to supplier evaluation and selection issues in the Indian automobile sector where advance purchases are carried out to fulfill the supply chain demand.

Design/methodology/approach

Based on the literature review and expert elicitation, nine major factors which are responsible for the successful implementation of supplier selection in a constrained environment of advance purchasing are identified. This paper explores supplier selection in constrained environment issues based on an integrated method based on Shannon entropy, analytic hierarchy process (AHP) techniques and failure mode effects analysis (FMEA).

Findings

Analysis of the results of the study suggests that traditional suppliers are not suitable in advance purchasing scenarios; hence, criteria developed in this paper to accommodate the requirement of advance purchasing with possible risk considerations are of high importance. This research paper is an original attempt to develop supplier selection criteria for advance purchasing with special identification of deliverability, flexibility, innovation and productivity factors through a case demonstration.

Research limitations/implications

This study uses data from secondary sources, literature reviews and expert opinions. It formalizes the important factors of successful supplier selection in the constrained environment of advance purchasing in the automotive industry context.

Practical implications

The paper shows how the engagement of suppliers through advance purchasing helps automotive companies in developing a competitive advantage. The integrated approach of Shannon entropy, AHP techniques and FMEA is an effective and useful method that can be applied to the supplier selection process.

Originality/value

The proposed FMEA-AHP method integrated with Shannon entropy used for evaluation represents a useful tool to embrace the suitable functioning tactics for efficient supplier selection. The study is unique as supplier evaluation and selection in a constrained environment of advance purchasing is not investigated much and has good industry applicability.

Details

Journal of Global Operations and Strategic Sourcing, vol. 16 no. 3
Type: Research Article
ISSN: 2398-5364

Keywords

Open Access
Article
Publication date: 13 February 2024

Tarig Zeinelabdeen Yousif Ahmed, Mawahib Eltayeb Ahmed, Quosay A. Ahmed and Asia Adlan Mohamed

The Gulf Cooperation Council (GCC) of countries has some of the highest electricity consumptions and carbon dioxide emissions per capita in the world. This poses a direct…

Abstract

Purpose

The Gulf Cooperation Council (GCC) of countries has some of the highest electricity consumptions and carbon dioxide emissions per capita in the world. This poses a direct challenge to the GCC government’s ability to meet their CO2 reduction targets. In this review paper the current household electricity consumption situation in the GCC is reviewed.

Design/methodology/approach

Three scenarios for reducing energy consumption and CO2 emissions are proposed and evaluated using strengths, weaknesses, opportunities and threats (SWOT) as well as the political, economic, social, technical, legal and environmental (PESTLE) frameworks.

Findings

The first scenario found that using solar Photovoltaic (PV) or hybrid solar PV and wind system to power household lighting could save significant amounts of energy, based on lighting making up between 8% to 30% of electricity consumption in GCC households. The second scenario considers replacement of conventional appliances with energy-efficient ones that use around 20% less energy. The third scenario looks at influencing consumer behavior towards sustainable energy consumption.

Practical implications

Pilot trials of these scenarios are recommended for a number of households. Then the results and feedback could be used to launch the schemes GCC-wide.

Social implications

The proposed scenarios are designed to encourage responsible electricity consumption and production within households (SDG12).

Originality/value

All three proposals are found viable for policymakers to implement. However, to ensure successful implementation GCC Governments are recommended to review all the opportunities and challenges associated with these schemes as laid out in this paper.

Details

Arab Gulf Journal of Scientific Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1985-9899

Keywords

Open Access
Article
Publication date: 3 August 2020

Djordje Cica, Branislav Sredanovic, Sasa Tesic and Davorin Kramar

Sustainable manufacturing is one of the most important and most challenging issues in present industrial scenario. With the intention of diminish negative effects associated with…

2025

Abstract

Sustainable manufacturing is one of the most important and most challenging issues in present industrial scenario. With the intention of diminish negative effects associated with cutting fluids, the machining industries are continuously developing technologies and systems for cooling/lubricating of the cutting zone while maintaining machining efficiency. In the present study, three regression based machine learning techniques, namely, polynomial regression (PR), support vector regression (SVR) and Gaussian process regression (GPR) were developed to predict machining force, cutting power and cutting pressure in the turning of AISI 1045. In the development of predictive models, machining parameters of cutting speed, depth of cut and feed rate were considered as control factors. Since cooling/lubricating techniques significantly affects the machining performance, prediction model development of quality characteristics was performed under minimum quantity lubrication (MQL) and high-pressure coolant (HPC) cutting conditions. The prediction accuracy of developed models was evaluated by statistical error analyzing methods. Results of regressions based machine learning techniques were also compared with probably one of the most frequently used machine learning method, namely artificial neural networks (ANN). Finally, a metaheuristic approach based on a neural network algorithm was utilized to perform an efficient multi-objective optimization of process parameters for both cutting environment.

Details

Applied Computing and Informatics, vol. 20 no. 1/2
Type: Research Article
ISSN: 2634-1964

Keywords

Article
Publication date: 8 November 2022

Mohd Javaid, Shahbaz Khan, Abid Haleem and Shanay Rab

Modern technologies are seen as an essential component of the fourth industrial revolution (industry 4.0) and their adoption is vital to transform the existing manufacturing…

Abstract

Purpose

Modern technologies are seen as an essential component of the fourth industrial revolution (industry 4.0) and their adoption is vital to transform the existing manufacturing system into industry 4.0-based manufacturing system. Therefore, the primary objective of this research explores the barriers of modern technology adoption and their mitigating solutions in order to align with Industry 4.0 objectives.

Design/methodology/approach

Barriers to adopting modern technologies and respective mitigating solutions are identified from the available literature. Further, these barriers are ranked with the help of expert opinions by using the BWM method appropriately. The identified solutions are ranked using the combined compromise solution (CoCoSo) method.

Findings

Several modern technologies and their capabilities are recognised to support the industry 4.0-based manufacturing systems. This study identifies 22 barriers to the effective adoption of modern technologies in manufacturing and 14 solutions to overcome these barriers. Change management, the high initial cost of technology and appropriate support infrastructure are the most significant barriers. The most prominent solutions to overcome the most considerable barriers are ‘supportive research, development and commercialisation environment’, ‘updated policy and effective implementation’ and ‘capacity building through training’ that are the top three solutions that need to be addressed.

Research limitations/implications

The barriers and solutions of modern technology adoption are obtained through a comprehensive literature review, so there is a chance to ignore some significant barriers and their solutions. Furthermore, ranking barriers and solutions is done with expert opinion, which is not free from biases.

Practical implications

This identification and prioritisation of barriers will help managers to understand the barriers so they can better prepare themselves. Furthermore, the suggested solutions to overcome these barriers are helpful for the managers and could be strategically adopted through optimal resource utilisation.

Originality/value

This study proposes a framework to identify and analyse the significant barriers and solutions to adopting modern technologies in the manufacturing system. It might be helpful for manufacturing organisations that are willing to transform their manufacturing system into industry 4.0.

Details

Benchmarking: An International Journal, vol. 30 no. 10
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 13 November 2023

Thisara Manupriya Sathkumara, Anuradha Samarajeewa Waidyasekara and Hasith Chathuranga Victar

The use of renewable energy has become necessary because of the harmful effects of current energy sources on the environment, limited availability and financial crisis…

Abstract

Purpose

The use of renewable energy has become necessary because of the harmful effects of current energy sources on the environment, limited availability and financial crisis. Transparent solar panels have emerged as a promising technology for integrating renewable energy generation into building structures. Therefore, this paper aims to explore the feasibility of transparent solar panels for high-rise building façades in Sri Lanka.

Design/methodology/approach

The research apprehended a qualitative approach, including two expert interview rounds adhering to the Delphi technique with 17 and 15 experts each per round. Manual content analysis was incorporated to analyse the collected data.

Findings

Regarding operation and maintenance, the study emphasizes the importance of regular inspection, cleaning and repair of transparent solar panels to ensure optimal performance and longevity. These activities contribute to maximizing energy generation and maintaining the aesthetic appeal of the building. The benefits of implementing transparent solar panels on building façades are manifold. They include renewable energy generation, reduced greenhouse gas emissions, improved energy efficiency and enhanced architectural aesthetics. Furthermore, the research findings underscore the potential of transparent solar panels to contribute to Sri Lanka’s sustainable development goals and address the country’s increasing energy demand. However, the study also identifies challenges that need to be addressed for successful implementation.

Originality/value

This study contributes to understanding the feasibility of transparent solar panels for high-rise building façades in Sri Lanka. The research findings offer valuable insights into the operation and maintenance aspects, benefits, challenges and strategies for implementing transparent solar panels effectively. This knowledge can guide policymakers, architects and developers in making informed decisions regarding the integration of transparent solar panels, thereby promoting sustainable and energy-efficient building practices in Sri Lanka.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 17 April 2023

Christopher Stutzman, Andrew Przyjemski and Abdalla R. Nassar

Powder bed fusion processes are common due to their ability to build complex components without the need for complex tooling. While additive manufacturing has gained increased…

Abstract

Purpose

Powder bed fusion processes are common due to their ability to build complex components without the need for complex tooling. While additive manufacturing has gained increased interest in industry, academia and government, flaws are often still generated during the deposition process. Many flaws can be avoided through careful processing parameter selections including laser power, hatch spacing, spot size and shielding gas flow rate. The purpose of this paper is to study the effect of shielding gas flow on vapor plume behavior and on final deposition quality. The goal is to understand more fully how each parameter affects the plume and deposition process.

Design/methodology/approach

A filtered-photodiode based sensor was mounted onto a commercial EOS M280 machine to observed plume emissions. Three sets of single tracks were printed, each with one of three gas flow rates (nominal, 75% nominal and 50% nominal). Each set contained single-track beads deposited atop printed pedestals to ensure a steady-state, representative build environment. Each track had a set power and speed combination which covered the typical range of processing parameters. After deposition, coupons were cross-sectioned and bead width and depth were measured. Finally, bead geometry was compared to optical emissions originating in the plume.

Findings

The results show that decreasing gas flow rate, increasing laser power or increasing scan speed led to increased optical emissions. Furthermore, decreasing the gas cross-flow speed led to wider and shallower melt pools.

Originality/value

To the best of the authors’ knowledge, this paper is among the first to present a relationship among laser parameters (laser power, scan speed), gas flow speed, plume emissions and bead geometry using high-speed in situ data in a commercial machine. This study proposes that scattering and attenuation from the plume are responsible for deviations in physical geometry.

Details

Rapid Prototyping Journal, vol. 29 no. 7
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 27 June 2023

Arsalan Safari, Vanesa Balicevac Al Ismail, Mahour Parast, Ismail Gölgeci and Shaligram Pokharel

This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic…

Abstract

Purpose

This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic literature has well discussed the causes of supply chain (SC) risk events, the impact of SC disruptions, and associated plans for SC resilience. However, the literature remains fragmented on the role of two fundamental elements in achieving SC resilience: the firm's size and the firm's industry as firms' contingent factors. Therefore, it is important to investigate and highlight SC resilience differences by size and industry type to establish more resilient firms.

Design/methodology/approach

Building upon the contingent resource-based view of the firm, the authors posit that organizational factors such as size and industry sector have important roles in developing organizational resilience capabilities. This systematic literature review and analysis is based on the structural and systematic analysis of high-ranked peer-reviewed journal papers from January 2000 to June 2021 collected through three global scientific databases (i.e. ProQuest, ScienceDirect, and Google Scholar) using relevant keywords.

Findings

This systematic literature review of 230 high-quality articles shows that SC risk events can be categorized into demand, supply, organizational, operational, environmental, and network/control risk events. This study suggests that the SC resilience plans developed by startups, small and mdium-sized enterprises (SMEs), and large organizations are not necessarily the same as those of large enterprises. While collaboration and networking and risk management are the most crucial resilience capabilities for all firms, applying lean and quality management principles and utilizing information technology are more crucial for SMEs. For large firms, knowledge management and contingency planning are more important.

Originality/value

This study provides a comprehensive review of the literature on SC resilience plans across different organizational sizes and industries, offering new insights into the nature and dynamics of startups', SMEs', and large enterprises' SC resilience in different industries. The study highlights the need for further investigation of SC risk and resilience for startups, SMEs, and different industries on a more detailed level using empirical data. This study’s findings have important implications for researchers and practitioners and guide the development of effective SC resilience strategies for different types of firms.

Details

The International Journal of Logistics Management, vol. 35 no. 2
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 27 April 2023

Pauline Charlotte Reinecke, Thomas Wrona, Nicolas Rückert and Kathrin Fischer

A large part of maritime container supply chain costs is generated by carriers in port hinterland logistics. Carriers which operate in the hinterland are under pressure to reduce…

Abstract

Purpose

A large part of maritime container supply chain costs is generated by carriers in port hinterland logistics. Carriers which operate in the hinterland are under pressure to reduce costs and increase profitability, and they face challenges of fierce price competition. This study aims to explore how collaboration is perceived and implemented by carriers in truck container logistics in the port hinterland as a way to tackle these issues.

Design/methodology/approach

This study adopts a qualitative multiple case study approach. Qualitative interviews with carriers in the port hinterland of Hamburg, Germany, were conducted and analyzed using grounded theory.

Findings

The study reveals two collaboration types in the hinterland, based on the different carriers' interpretation of market conditions as changeable or as given, driving their collaboration mindsets and strategic actions: The developer, who has a proactive collaboration mindset and practices strategic maneuvers toward changing poor market conditions through collaboration, and the adapter, who has a defensive collaboration mindset and perceives market conditions as given and constraining collaboration.

Research limitations/implications

The qualitative results will help researchers better understand how collaboration practices depend on the carriers' subjective interpretations and perceptions of the market.

Practical implications

Based on the findings, managers of carriers gain an understanding of the different types of actors in their market and the relevance of acknowledging these types. Consequently, they can design appropriate strategic measures toward collaboration.

Originality/value

The findings for the first time provide exploratory insights of carriers' mindsets.

Details

International Journal of Physical Distribution & Logistics Management, vol. 53 no. 9
Type: Research Article
ISSN: 0960-0035

Keywords

Case study
Publication date: 11 December 2023

Padhmanabhan Vijayaraghavan and Frederick Sidney Correa

After completion of the case study, students will be able to describe the crisis types and the various phases in mapping a crisis and outline appropriate actions during each…

Abstract

Learning outcomes

After completion of the case study, students will be able to describe the crisis types and the various phases in mapping a crisis and outline appropriate actions during each phase; identify stakeholders in the context of change management initiatives and map them through their power, influence and interest needs; identify the needs and resistance present in change management initiatives through the systems-thinking perspective; recognize the leadership competencies for an effective crisis management approach; and identify the way to conduct challenging conversations with important stakeholders whose support and influence are required.

Case overview/synopsis

Stella Fernandez, the vice president of human resources management in a family-managed business organization, was disturbed by the media reports on rising number of cases of COVID-19 infection in India during the first week of March 2020. She thought that a continued rise in the number of infection cases could affect the business continuity as well as the safety of the employees. In her opinion, a faster introduction of a work-from-home policy could help to reduce the impact of the potential crisis. Fernandez understood that without the senior management team’s consent, she could not drive the information technology team to implement the work-from-home measure. However, she felt that there could be challenges in convincing the senior management team, who did not treat this outbreak to be of grave importance. Anticipating the unfavourable reaction, Fernandez planned her approach carefully by identifying and convincing influential members to support this change management initiative; nevertheless, to her dismay, her meticulous plan failed to convince the powerful members of the team, who continued to resist the change proposed by her. Disappointed and surprised by their reaction, Fernandez wondered what she could have done to make the senior management team to accept her proposal.

Complexity academic level

This case study is designed for use in undergraduate- or graduate-level programmes.

Supplementary material

Teaching notes are available for educators only.

Subject code

CSS 6: Human resource management.

Details

Emerald Emerging Markets Case Studies, vol. 13 no. 4
Type: Case Study
ISSN: 2045-0621

Keywords

1 – 10 of 32