Exploring incomplete information in maintenance materials inventory optimization

Puurunen, Antti; Majava, Jukka; Kess, Pekka

doi:10.1108/imds-01-2013-0025

Cited by 6 publications

(6 citation statements)

References 40 publications

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“…In this paper, the use of the term "customer services" focuses on after-sales services. The supply chain for after-sales differs from production supply chain in terms of nature of demand, response times, performance metrics, the amount of products, delivery network, reverse logistics, and inventory management (Cohen, Agrawal & Agrawal, 2006;Iraqi, Barkany & Biyaali, 2016;Puurunen, Majava & Kess, 2014).…”

Section: After-sales Services and Business Modelsmentioning

confidence: 99%

Business model evolution of customer care services

Majava

Isoherranen

2019

JIEM

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Purpose: Servitization is a rising trend as companies look for new revenue streams. This paper presents a study of customer care business model evolution in the smartphone industry. The paper identifies key changes in the business models during recent years and their implications for companies seeking after-sales service excellence and new revenue sources.Design/methodology/approach: The research approach is built on the literature of product-service offerings, servitization, and business models. The empirical part is based on a multiple case study of former Nokia mobile phone business, the Apple iPhone, and Google Android.Findings: Three different customer care business models and an analysis of the changes in the smartphone industry are presented. This paper demonstrates how after-sales services have become increasingly important in generating new revenue. Moreover, the nature of after-sales services has fundamentally changed in the industry.Research limitations/implications: Due to the careful selection of the cases that represent the studied industry well, the results provide valuable insights for practitioners and researchers involved in developing after-sales service offerings in the mobile industry. However, a case study research approach may not offer a generalized picture of this phenomenon in other industries.Originality/value: A novel analysis of customer care evolution in the smartphone industry is presented. In addition, the study demonstrates that applying the concept of business models to after-sales services provides new insights into these services and their roles in business.

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Section: After-sales Services and Business Modelsmentioning

confidence: 99%

Business model evolution of customer care services

Majava

Isoherranen

2019

JIEM

Self Cite

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“…External consultation, training, and recruitment may therefore be preconditions for the development work. The availability of proper data should also be ensured (e.g., [29]). …”

Section: Managerial Implicationsmentioning

confidence: 99%

Lean Production Development in SMEs: A Case Study

Majava¹,

Ojanperä²

2017

Management and Production Engineering Review

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The competitiveness of small and medium sized enterprises (SMEs) is vital for the European economy. Also, manufacturing is often the core competence of SMEs. Adopting lean philosophy is a viable and popular approach for developing production and enabling continuous improvement. Despite the increased interest in empirical lean research, the body of knowledge about lean manufacturing development in SMEs is currently insufficient. This paper describes a study of a lean development project in a Finnish-based manufacturing SME. A current state analysis and development proposals are presented. The project applies a framework that other SMEs can utilize in identifying their problem areas and creating development proposals for their production activities. The results of the study contribute to the existing body of knowledge in lean manufacturing. In addition, managers in SMEs can utilize the study results as a reference when designing production development projects.

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“…Despite there being much research in decision support for inventory management, most of the research is focused on the manufacturing industries and industrial applications. Puurunen et al (2014) explored a real-life situation in the implementation of an optimization model by evaluating the use of incomplete data in stochastic simulation-based inventory optimization for industrial maintenance. Nakandala et al (2014) explored cost optimization methods to tackle the uncertain demand environment for cost minimization, different industrial scenarios being used as a case study.…”

Section: Introductionmentioning

confidence: 99%

Inventory classification system in space mission component replenishment using multi-attribute fuzzy ABC classification

Yung

Tang

et al. 2021

IMDS

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PurposeThis project attempts to present a space component inventory classification system for space inventory replenishment and management. The authors propose to adopt a classification system that can incorporate all the different variables in a multi-criteria configuration. Fuzzy logic is applied as an effective way for formulating classification problems in space inventory replenishment.Design/methodology/approachA fuzzy-based approach with ABC classification is proposed to incorporate all the different variables in a multi-criteria configuration. Fuzzy logic is applied as an effective way for formulating classification problems in space inventory replenishment of the soil preparation system (SOPSYS) which is used in grinding and sifting Phobos rocks to sub-millimeter size in the Phobos-Grunt space mission. An information system was developed using the existing platform and was used to support the key aspects in performing inventory classification and purchasing optimization.FindingsThe proposed classification system was found to be able to classify the inventory and optimize the purchasing decision efficiency. Based on the information provided from the system, implementation plans for the SOPSYS project and related space projects can be proposed.Research limitations/implicationsThe paper addresses one of the main difficulties in handling qualitative or quantitative classification criteria. The model can be implemented using mathematical calculation tools and integrated into the existing inventory management system. The proposed model has important implications in optimizing the purchasing decisions to shorten the research and development of other space instruments in space missions.Originality/valueInventory management in the manufacture of space instruments is one of the major problems due to the complexity of the manufacturing process and the large variety of items. The classification system can optimize purchasing decision-making in the inventory management process. It is also designed to be flexible and can be implemented for the manufacture of other space mission instruments.

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Exploring incomplete information in maintenance materials inventory optimization

Cited by 6 publications

References 40 publications

Business model evolution of customer care services

Business model evolution of customer care services

Lean Production Development in SMEs: A Case Study

Inventory classification system in space mission component replenishment using multi-attribute fuzzy ABC classification

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