Developing a framework to support strategic supply chain segmentation decisions: a case study

Kharlamov, Alexander A.; Ferreira, L. S.; Godsell, Janet

doi:10.1080/09537287.2019.1707896

Cited by 11 publications

(15 citation statements)

References 86 publications

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“…SC fit is related to the best deployment, development and management of a company's resources and assets and to specific SC practices that enable the company to face specific challenges presented by its environment. SC fit is unlikely to be achieved by “best practices” and strategies (one size does not fit all here) (Kharlamov et al ., 2020).…”

Section: Resultsmentioning

confidence: 99%

The impact of supply chain fit on business and innovation performance in Brazilian companies

Zimmermann

Ferreira

Moreira³

et al. 2020

IJLM

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PurposeThis paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.Design/methodology/approachThe study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.FindingsThe results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.Originality/valueAn analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

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Section: Resultsmentioning

confidence: 99%

The impact of supply chain fit on business and innovation performance in Brazilian companies

Zimmermann

Ferreira

Moreira³

et al. 2020

IJLM

View full text Add to dashboard Cite

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“…Each author has used different criteria based upon their intuition and context or aim of a segmentation and available data. The criteria which have been selected needs to be treated equally (Kharlamov et al, 2020).…”

Section: Segmentation Processmentioning

confidence: 99%

“…After identification of segments, it comes to a operationalize those segments for which tailored strategies and practices reviewed from the literature of operations and supply chain management and also the existing managers input is taken (Kharlamov et al, 2020). There is a shift from generalized to hybrid methods of combining data with intuition to gain insights by the deductive abductive methods in order to get differentiated segments (Godsell et al, 2013).…”

Section: Segmentation Processmentioning

confidence: 99%

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A Data-driven Approach for Planning Stock Keeping Unit (SKU) in a Steel Supply Chain

Wakle,

Toshniwal,

Jain

et al. 2024

Int. j. math. eng. manag. sci.

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In response to the growing complexities in supply chain management, there is an imperative need for a data-driven methodology aimed at optimizing inventory allocation strategies. The purpose of this research is to enhance the efficiency of allocation and operational scheduling, particularly concerning the stock keeping units (SKUs). To achieve this, one year's operational data from a specific organization's SKUs is taken and machine learning tools are employed on the data collected. These tools are instrumental in identifying clusters of SKUs that exhibit similar behaviour. Consequently, this research offers recommendations for rational inventory allocation strategies that are finely attuned to the unique characteristics of each SKU cluster. Results obtained reveals substantial disparities between the recommended strategies for the organization's SKUs and those typically found in the literature such as same strategy cannot be used for all different types for products. This underscores the critical importance of adopting a tailored approach to supply chain management. Furthermore, the research demonstrates the remarkable efficiency of unsupervised machine learning algorithms in determining the optimal number of segments within the SKUs. The current research differentiates from others in a way that in most of the research, the holistic data-driven approach is underutilized, right from the selection of the clustering algorithm to the validation of segments.

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“…Benstead et al (2018) apply AR to study horizontal, rather than vertical, relationships demonstrating how collaboration with non-business actors can improve informal governance. Other authors have leveraged digital transformation initiatives in AR, studying cross-functional collaboration and knowledge management over a firm's forecasting process (Phillips & Nikolopoulos, 2019) or adopting data mining and clustering techniques to develop new insight into SC segmentation (Kharlamov et al, 2020). Finally, different authors have adopted AR to unveil otherwise hidden elements impacting the sustainability of SC (Tiwari & Khan, 2019; Zarei et al, 2019) or improve logistics and retail delivery (García-Arca et al, 2020; Su et al, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Guiding Digital Transformation and Collaborative Knowledge Creation in the Pharmaceutical Supply Chain Through Action Research

Farinelli,

Canterino,

Caniato

2023

The Journal of Applied Behavioral Science

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Digital transformation initiatives in supply chain require a sector-level approach, involving multiple stakeholders. This implies the development of new models for successful implementation that move beyond the dyadic relationship level and that fosters collaboration mechanisms in multi-stakeholder and multi-level systems. This study applies an insider action research approach to the implementation of the EU system for product traceability in the pharmaceutical supply chain, the EU falsified medicines directive, focusing on stakeholder orientation's alignment. The study identifies how to overcome obstacles to the effective governance of multi-stakeholder digital transformation in supply chains. It proposes new pre-cycle and monitoring mechanisms to use in AR, highlighting the importance of formal structures to foster informal governance and relationships among different stakeholders and introducing the notion of deliberative capacity. Practical implications for managers of companies and organizations at different levels of the supply chain are discussed, illustrating the practical outcomes of the pan-European project.

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Developing a framework to support strategic supply chain segmentation decisions: a case study

Abstract: Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 11 publications

References 86 publications

The impact of supply chain fit on business and innovation performance in Brazilian companies

The impact of supply chain fit on business and innovation performance in Brazilian companies

A Data-driven Approach for Planning Stock Keeping Unit (SKU) in a Steel Supply Chain

Guiding Digital Transformation and Collaborative Knowledge Creation in the Pharmaceutical Supply Chain Through Action Research

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