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Gives results of a survey on the application of the just‐in‐time (JIT) approach in Italy, based on a sample of 173 industrial companies. The methodological framework used to evaluate JIT application was described in a previous article (International Journal of Operations & Production Management, Vol. 9 No. 8, 1989). Interest in JIT is wide and is growing. The evidence shows the compatibility and complementarity of JIT with different classes of innovation; the need for an integrative approach emerges. Pull‐controlled flow, supply quality certification, preventive maintenance, job enlargement/enrichment and product modularization emerge as the core features of JIT, even though most are widely adopted in JIT implementation. In terms of operating conditions, the most significant improvements obtained by those who adopt JIT are: a speed‐up in production flow and synchronization between production and market and between the different productive and logistic phases. Consequently, major benefits in production system performance are achieved in terms of mix flexibility, working‐capital productivity and productivity of both direct and clerical labour. Success in JIT adoption seem not to be related to certain exogenous factors, such as company size and type and the nationality of ownership. As the strategic profile of a firm also seems irrelevant to the aims of JIT adoption JIT confirms itself as an instrument suitable for different application contexts and diverse strategic objectives.

Part of a research programme being undertaken in Italy on the applicability of the just‐in‐time (JIT) approach. The programme includes both the development of methodological concepts to evaluate JIT applicability and an extensive survey of the value of JIT implementation as seen by Italian industry. Two levels of performances are identified: o First, the various performances at system level (critical manufacturing tasks) where the dimensions and measurement of productivity, service, quality and flexibility are defined; o Second, “operating conditions” being the variables describing the characteristics of single production factors and their interconnection (such as efficiencies, capability, process flexibility and lead times) The set of JIT techniques in the area of product, process, organisation, planning and control and supply are classified, the ways the techniques impact on operating conditions and, through them, on performance at production system level are analysed. A paradigm of JIT approach results, which explains the changes in the traditional trade‐offs within overall performance.

Focuses on total productive maintenance (TPM) practices in Italy. Surveys a set of companies in manufacturing industry and where programme kick‐off only has been performed. Employs the most important findings of the survey to design and implement a new taxonomy, by means of which TPM programmes can be classified along seven dimensions that refer to the most relevant characteristics and properties of each TPM programme. Finally, suggests a more general conceptual model capable of outlining the distinctive features of each TPM approach when facing a specific industrial environment.

This study explores whether machinery firms with a ‘hidden champions’ profile leverage Industry 4.0 practices to roll out smart services; whether this allows them to get a firm grip on their installed base; and whether it allows them to expand their international (service) business. The research is conducted based on exploratory, multiple-case study methods.

The author finds that the implementation of smart services can improve a machine tool builder’s hold on its installed base and expand the scope of its international (service) business. However, the study also finds that the ability to capitalise on this potential depends on a series of moderating variables. The study also concludes that there is a risk that smart services do not unlock a strong willingness-to-pay among potential customers.

It, therefore, calls into question several conventional wisdoms, such as the possibilities that Industry 4.0 offers for suppliers operating in business-to-business markets, and the receptiveness to smart services by buyers in such markets. Finally, it highlights the specific liabilities faced by hidden champions with regard to expanding their smart services business.

The chapter provides practical insights into the hurdles that industrial suppliers must overcome in their attempts to achieve uptake of smart services by customers, particularly within a cross-border context.

This paper identifies, configures and analyses a solution aimed at increasing the efficiency of in-store picking for e-grocers and combining the traditional store-based option with a warehouse-based logic (creating a back area dedicated to the most required online items).

The adopted methodology is a multi-method approach combining analytical modelling and interviews with practitioners. Interviews were performed with managers, whose collaboration allowed the development and application of an empirically-grounded model, aimed to estimate the performances of the proposed picking solution in its different configurations. Various scenarios are modelled and different policies are evaluated.

The proposed solution entails time benefits compared to traditional store-based picking for three main reasons: lower travel time (due to the absence of offline customers), lower retrieval time (tied to the more efficient product allocation in the back) and lower time to manage stock-outs (since there are no missing items in the back). Considering the batching policies, order picking is always outperformed by batch and zone picking, as they allow for the reduction of the average travelled distance per order. Conversely, zone picking is more efficient than batch picking when demand volumes are high.

From an academic perspective, this work proposes a picking solution that combines the store-based and warehouse-based logics (traditionally seen as opposite/alternative choices). From a managerial perspective, it may support the definition of the picking process for traditional grocers that are offering – or aim to offer – e-commerce services to their customers.

This paper aims to overcome the inability of both comparing loss costs and accounting for production resource losses of Overall Equipment Effectiveness (OEE)-related approaches.

The authors conducted a literature review about the studies focusing on approaches combining OEE with monetary units and/or resource issues. The authors developed an approach based on Overall Equipment Cost Loss (OECL), introducing a component for the production resource consumption of a machine. A real case study about a smart multicenter three-spindle machine is used to test the applicability of the approach.

The paper proposes Resource Overall Equipment Cost Loss (ROECL), i.e. a new KPI expressed in monetary units that represents the total cost of losses (including production resource ones) caused by inefficiencies and deviations of the machine or equipment from its optimal operating status occurring over a specific time period. ROECL enables to quantify the variation of the product cost occurring when a machine or equipment changes its health status and to determine the actual product cost for a given production order. In the analysed case study, the most critical production orders showed an actual production cost about 60% higher than the minimal cost possible under the most efficient operating conditions.

The proposed approach may support both production and cost accounting managers during the identification of areas requiring attention and representing opportunities for improvement in terms of availability, performance, quality, and resource losses.

Nowadays manufacturers companies are increasingly compelled to navigate towards servitization. Different methods and approaches were proposed in literature to support them to switch from traditional product-based business model to product service systems (PSSs). However, new knowledge, capabilities and skills were needed to consistently develop PSSs, since they need a joint focus on both customer’s perspective and company’s internal performance and at the same time a proper support for the integration of product and service design. The purpose of this paper is to propose the Product Service System Lean Design Methodology (PSSLDM), a structured methodology to develop PSSs along their entire lifecycle.

Retrieving concepts from interpretative, interactive and system development research traditions, and strongly reminding the design research methodology framework, the adopted research methodology is composed of three main phases (observation and conceptualization, theory building and tool development, validation) and involved three heterogeneous companies.

This paper provides an overview of the PSSLDM, explaining how the different methods supporting its conduction should contribute to properly design an integrated PSS. Moreover, companies highlighted several benefits in the different stages along the PSS lifecycle deriving by the adoption of the PSSLDM.

The development of a platform based on the PSSLDM methodology raises a discussion on the possible changes needed by current Product Lifecycle Management (PLM) models and systems when they have to do with PSSs.

The PSSLDM enriches the already proposed SErvice Engineering Methodology, introducing new several components linked by lean rules in each of its phases (starting from customer analysis, going through solution concept and detailed design, until the offering analysis) and better supprting the deatil design of both prodcut and service components.

This paper aims to present a dual-perspective framework for maintenance service delivery that should be used by manufacturing companies to structure and manage their maintenance service delivery process, using aggregated historical and real-time data to improve operational decision-making. The framework, built for continuous improvement, allows the exploitation of maintenance data to improve the knowledge of service processes and machines.

The Dual-perspective, data-based decision-making process for maintenance delivery (D3M) framework development and test followed a qualitative approach based on literature reviews and semi-structured interviews. The pool of companies interviewed was expanded from the development to the test stage to increase its applicability and present additional perspectives.

The interviews confirmed that manufacturing companies are interested in exploiting the data generated in the use phase to improve operational decision-making in maintenance service delivery. Feedback to improve the framework methods and tools was collected, as well as suggestions for the introduction of new ones according to the companies' necessities.

The paper presents a novel framework addressing the data-based decision-making process for maintenance service delivery. The D3M framework can be used by manufacturing companies to structure their maintenance service delivery process and improve their knowledge of machines and service processes.

The purpose of this study is to investigate what type of knowledge enhances the frequency of strategic renewal for organizations operating in high velocity environments. It also investigates whether strategic renewal frequency is beneficial, rather than harmful in such environments.

The study followed a two-step data collection process involving pilot interviews and an on-site survey data collection procedure. The authors first conducted face-to-face pilot interviews with 16 fashion retailers lasting 30 min to 2 h. They then tested their hypotheses by using a sample of 152 South Korean fashion retailers, as the fashion industry is a prototypical high velocity environment.

Firms that have a higher rate of strategic renewal frequency outperform those with a lower one. Moreover, the frequency of strategic renewal mitigates the ill effects of lack of legitimacy not imbued by a franchisor’s backing. Finally, firms can increase the frequency of their strategic renewal efforts by accessing knowledge from their main customers more efficiently.

The results of this study provide a refined picture of the role of knowledge acquisition efficiency and strategic renewal frequency in the pursuit of competitive advantage in high velocity environments.

The e-commerce boom presents new challenges for last-mile delivery (LMD), which may be mitigated by new delivery technologies. This paper evaluates the impact of mobile parcel lockers (MPL) on costs and CO₂ equivalent (CO₂e) emissions in existing LMD networks, which include home delivery and shipments to stationary parcel lockers.

To describe customers’ preferences, we design a multinomial logit model based on recipients’ travel distance to pick-up locations and availability at home. Based on route cost estimation, we define the operating costs for MPLs. We devise a mathematical model with binary decision variables to optimize the location of MPLs.

Our study demonstrates that integrating MPLs leads to additional cost savings of 8.7% and extra CO₂e emissions savings of up to 5.4%. Our analysis of several regional clusters suggests that MPLs yield benefits in highly populous cities but may result in additional emissions in more rural areas where recipients drive longer distances to pick-ups.

This paper designs a suitable operating model for MPLs and demonstrates environmental and economic savings. Moreover, it adds recipients’ availability at home to receive parcels improving the accuracy of stochastic demand. In addition, MPLs are evaluated in the context of several regional clusters ranging from large cities to rural areas. Thus, we provide managerial guidance to logistics service providers how and where to deploy MPLs.