A decision-making approach for investigating the potential effects of near sourcing on supply chain

Purpose - Near sourcing is starting to be regarded as a valid alternative to global sourcing in order to leverage supply chain (SC) responsiveness and economic efficiency. The present work proposes a decision-making approach developed in collaboration with a leading Italian retailer that was willing to turn the global store furniture procurement process into near sourcing. Design/methodology/approach - Action research is employed. The limitations of the traditional SC organisation and purchasing process of the company are first identified. On such basis, an inventory management model is applied to run spreadsheet estimates where different purchasing and SC management strategies are adopted to determine the solution providing the lowest cost performance. Finally, a risk analysis of the selected best SC arrangement is conducted and results are discussed. Findings - Switching from East Asian suppliers to continental vendors enables a SC reengineering that increases flexibility and responsiveness to demand uncertainty which, together with decreased transportation costs, assures economic viability, thus proving the benefits of near sourcing. Research limitations/implications - The decision-making framework provides a methodological roadmap to address the comparison between near and global sourcing policies and to calculate the savings of the former against the latter. The approach could include additional organisational aspects and cost categories impacting on near sourcing and could be adapted to investigate different products, services, and business sectors. Originality/value - The work provides SC researchers and practitioners with a structured approach for understanding what drives companies to adopt near sourcing and for quantitatively assessing its advantage

Collaborative improvement as an inspiration for supply chain collaboration

The battlefield of competition is today moving from the level of\ud individual firms to the one of the extended enterprises, that is, networks of customers and their suppliers. This paper discusses how learning and continuous improvement today take place in processes based on daily collaboration at intercompany level, i.e. Extended Manufacturing Enterprises (EMEs). The purpose of the paper is to present a preliminary theory on Collaborative Improvement (CoI), i.e. continuous improvement at the EME level. Based on a literature review on Supply Networks, and Continuous Improvement and on evidence from two explorative case studies, the paper proposes a model for Collaborative Improvement in EMEs and discusses a research approach based on Action Research and Action Learning to further develop preliminary theory and actionable knowledge on how to foster and sustain CoI in EMEs

To control or not to control: How to organize employee-driven innovation

Nowadays organizations are increasingly understanding the relevance of employees for innovation. Innovative initiatives that involve larger groups of employees, despite their role and hierarchical position, are more and more diffused within companies. However, the literature on this topic is still at its infancy, especially considering those initiatives that are structured and organized by management. Using multiple case studies, performing 34 semistructured interviews in five different companies, we investigate how managers navigate alternative design choices when they organize employee-driven innovation (EDI). Our findings suggest companies adopt different structures to organize EDI (i.e., open, closed, and hybrid), depending on the desired goals they want to achieve (i.e., creating a community or producing innovation). In this paper, we provide a clustering of different EDI practices (i.e., community-nurturing practices, solution-based practices, and integrative practices), outlining how managers can configure different design choices (e.g., topic definition, team creation, ideas transfer, ideas filtering and evaluation, and task division and allocation) to drive employees' involvement and to produce innovation

Investigating the Integration of Industry 4.0 and Lean Principles on Supply Chain: A Multi-Perspective Systematic Literature Review

The development of digital technologies in all aspects of human life leads to increasing the necessity for investigating them in the Supply Chain (SC) as the main channel to provide products. Moreover, Lean principles, with the aim of reducing wastes, could be one of the main research streams in SC in recent years. Therefore, it is valuable to figure out the mutual effects of Lean principles and digital technologies as two growing areas in SC. Previous works did not pay attention to investigating this relationship at the SC level and were more focused on the production level. However, the present work addresses this issue by conducting a multi-perspective Systematic Literature Review (SLR). Additionally, in the present SLR, the impact of individual Industry 4.0 technologies in relation to Lean principles was investigated from various SC perspectives. The results reveal the necessity of studying single SC processes in Lean Digital SC. Moreover, the applicability of each technology should be illustrated to alleviate SC operational and organizational issues. The results provide useful insights about applying single digital technologies as well as a combination of them to each SC process to solve specific issues

A multi-criteria fuzzy method for selecting the location of a solid waste disposal facility

Facility location is a multicriteria decision process that has important operational and economic impacts and that typically involves uncertainty and vagueness of evaluations. A fuzzy-based method supporting preliminary decision-making about siting solid waste incinerators is proposed building on a structured classification of criteria for location selection developed from the existing literature. The application to a case study revealed the advantages of the methodology. The work intends to provide a general and comprehensive taxonomy of decision criteria that may be adapted to various facility location problems together with a fuzzy inference process that is useful for companies and public administration institutions looking for rigorous but relatively simple decision-making tools in uncertain environments. Future research will compare the developed method with the most common tools for making location decisions. The approach will be then extended to different kinds of facilitie