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This study applies organizational information processing theory (OIPT) to investigate managing production process variability in uncertain environments using information technology (IT) capabilities.

We conduct an empirical analysis using the three-stage least squares (3SLS) technique on 1,612 manufacturing firms over ten years.

The findings show that IT capability plays a dual role: it reduces the positive impact of environmental uncertainty on production process variability and mitigates the negative relationship between production process variability and operational performance.

Our findings suggest that managers should focus on reducing production process variability by strengthening their firms' IT capabilities. This is particularly crucial in volatile environments where external uncertainties can significantly impact operational processes.

Variability in the production process is a significant source of inefficiency and disruption within business processes. Using OIPT, our study contributes to the field by empirically analyzing the role of IT capabilities in reducing production process variability under environmental uncertainty.

Lean manufacturing, a philosophy that revolutionized the manufacturing industry, is often linked to the Toyota Production System (TPS). At the core of a lean company, one can observe proper implementation of lean manufacturing tools and practices such as just-in-time, work teams, cellular manufacturing, lean layout, etc. The goal of lean production is to minimize the waste producing activities while offering the same or enhanced quality to customers.

The aim of this research is to investigate the implementation degree of lean manufacturing and its tools and practices focusing on the case of an SME in Albania as a concrete example. Higher attention is given to some of the pillars of lean manufacturing such as just-in-time and cellular manufacturing.

In this case study, researchers observed a variety of features of lean production. Just-in-time was implemented to a certain extent and cellular manufacturing at a more surprising level, which was facilitated especially by the U-shaped facility layout designs observed during the site visits. The value stream mapping showed a proper group technology in place and the management displayed signs of engagement and future advancement desire regarding this philosophy.

This paper aims to address how perceived social media agility can promulgate co-creation processes, such as co-production and value-in-use, and how it impacts brand-related outcomes. This study also addresses calls for marketing scholars to investigate the types of personality traits that affect these potential relationships by accounting for the impact of technology reflectiveness.

This paper conducted an online survey with 321 adult subjects. The direct, indirect and conditional (moderation) effects were assessed using multivariate regression, various PROCESS models and the Johnson–Neyman technique (to probe the interaction terms). Additional supplemental analyses were conducted via PROCESS models.

The results show that perceived social media agility directly and indirectly (through co-production and value-in-use) positively influences brand attachment and that the order of these two processes matters (co-production followed by value-in-use). Results also show that the positive impact of perceived social media agility on co-production and value-in-use deviates for customers high in technology reflectiveness but can be manipulated according to which process comes first.

This paper expounds on the new construct of perceived social media agility by uniquely linking perceived social media agility to two distinct value co-creation processes (co-production and value-in-use) and brand-related outcomes while highlighting how consumer-specific traits can affect this relationship in a social media setting.

This chapter is about the modern, Western education system as an economic system of production on behalf of the capitalist mode of production (CMP) and globalization towards a single, global social space around market capitalism, liberal democracy and individualism.

The schooling process is above all an economic process, within which educational labour is performed, and through which the education system operates in an integrated fashion with the (external) economic system.

It is mainly through children’s compulsory educational labour that modern schooling plays a part in the production of labour power, supplies productive (paid) employment within the CMP, meets ‘corporate economic imperatives’, supports ‘the expansion of global corporate power’ and facilitates globalization.

What children receive in exchange for their appropriated and consumed labour power within the education system are not payments of the kind enjoyed by adults in the external economy, but instead merely a promise – the promise enshrined in the Western education industry paradigm.

In modern societies, young people, like chattel slaves, are compulsorily prevented from freely exchanging their labour power on the labour market while being compulsorily required to perform educational labour through a process in which their labour power is consumed and reproduced, and only at the end of which as adults they can freely (like freed slaves) enter the labour market to exchange their labour power.

This compulsory dispossession, exploitation and consumption of labour power reflects and reinforces the power distribution between children and adults in modern societies, doing so in a way resembling that between chattel slaves and their owners.

The study examines the remote integration process of advanced manufacturing technology (AMT) into the production system and identifies key challenges and mitigating actions for a smoother introduction and integration process.

The study adopts a case study approach to a cyber-physical production system at an industrial technology center using a mobile robot as an AMT.

By applying the plug-and-produce concept, the study exemplifies an AMT's remote integration process into a cyber-physical production system in nine steps. Eleven key challenges and twelve mitigation actions for remote integration are described based on technology–organization–environment theory. Finally, a remote integration framework is proposed to facilitate AMT integration into production systems.

The study presents results purely from a practical perspective, which could reduce dilemmas in early decision-making related to smart production. The proposed framework can improve flexibility and decrease the time needed to configure new AMTs in existing production systems.

The area of remote integration for AMT has not been addressed in depth before. The consequences of lacking in-depth studies for remote integration imply that current implementation processes do not match the needs and the existing situation in the industry and often underestimate the complexity of considering both technological and organizational issues. The new integrated framework can already be deployed by industry professionals in their efforts to integrate new technologies with shorter time to volume and increased quality but also as a means for training employees in critical competencies required for remote integration.

The Profit Impact of Marketing Strategy (PIMS) database was used to test the relationship between production process type (small batch, large batch/assembly, and continuous) and eight organizational policy decisions (new products, new plant and equipment, finished goods inventory, raw materials/work‐in‐process inventory, capacity utilization, fixed capital assets, manufacturing costs, gross margin). In addition, the effect of six broad industry types on the proposed relationships was also investigated. Overall industries, raw materials/work‐in‐progress, capacity utilization, manufacturing costs, fixed assets, and gross margin varied with production process type while new products, new plant and equipment, and finished goods inventory did not vary. Within each industry, the findings showed less support for the relationships between production process type and the eight organizational policy decisions. Further analysis showed that most of the industries are dominated by a production process type. Suggests a movement away from the traditional differentiation of production process technologies and a shift of research emphasis to the differing uses of a particular production process technology within an industry.

The purpose of this paper is twofold. In view of the importance of process platform‐based production configuration (PPbPC) in sustaining product family production efficiency, it is to study the underlying logic for configuring production processes for a product family based on a process platform. Second, it is to apply the Petri nets (PNs) techniques to model PPbPC, in attempting to shed light on the underlying logic.

The authors first identify the fundamental issues in PPbPC, including variety handling, process variation accommodation, configuration at different abstraction levels, and constraint satisfaction. To accommodate the corresponding modelling difficulties, the authors develop a formalism of hierarchical colored timed PNs (HCTPNs) based on the principles of hierarchical PNs, timed PNs, and colored PNs. In the formalism, three types of nets together with a system of HCTPNs are defined to address the modelling of PPbPC.

Applying HCTPNs to vibration motors' case has revealed the logic of specifying complete production processes of final products at different levels of abstraction to achieve production configuration. The preliminary results also further demonstrate the feasibility of modelling PPbPC based on HCTPNs.

Traditional approaches to planning production processes for individual products may limit production performance improvement when companies need to timely produce a high variety of customized products. Systematic methods should be developed to plan production processes for product families so as to achieve production efficiency while utilizing the existing manufacturing resources.

By integrating the advantages of existing PN techniques, the HCTPNs formalism is developed to shed light on planning production processes for product families. The resulting production configuration model can facilitate practitioners to achieve production efficiency in producing large numbers of customized products.

This paper aims to provide feasible countermeasures for the application of lean manufacturing in automatic sand casting workshops to optimize production line balance.

A production line balance optimization model for sand casting workshops is proposed. The value stream mapping (VSM) approach is applied to diagnose the problems in the production process. An optimization scheme is established based on eliminate, combine, rearrange, simplify and increase theory and Kanban management method. Further, simulation is done to compare current VSM and future VSM.

After implementing the proposed model, findings indicated that the idle time of equipment was effectively reduced, the line of balance of the production line was increased by 44.7%, the production lead time was shortened by 60.3% and the production capacity was increased by 50.0%.

Application of the optimization model in this study is limited to sand casting workshops that have realized automatic or semi-automatic production.

This paper provides an optimization model for the implementation of lean manufacturing in sand casting workshops and provides a reference case that reflects the actual application of lean manufacturing tools in a real situation.

The purpose of this research is to detect, through applying a process-based view, how to manage economisation of the maintenance and modification operations in offshore petroleum logistics operations.

A single case study of engineering services, more specifically, maintenance and modification service operations, on a Norwegian Sea oil platform reveals the dynamics of building network capabilities in a consistent network structure. Two layers of coordination are studied: the engineering process and its context, represented by its network of interconnected firms. This case study empirically grounds how engineering service involves managing reciprocally interdependent exchange processes in the network structure.

Pooled interdependencies are vital in understanding the nature of service provision and use, and sequential interdependencies are vital in narrating the timing of processes to reveal the nature of process emergence to coordinate strings of production events. Furthermore, the network structure, when characterised by multiple interdependent projects, is also dynamic but at a slower pace.

Through the case study, operations management is revealed to be associated with project emergence at two levels: the core process level regarding daily continuous change, including the changing interaction of multiple different and interdependent projects, and the contextual level, where features of interdependency and integration change, affecting engineering service production. This provides guidance as to the economisation of engineering services. They change not only interactions in the flow of production but also its context.

The purpose of this paper is to investigate the process optimization of a precast concrete component production line by using value stream mapping.

This paper is an empirical focused on of lean production theory and value stream mapping. The data in the case study were collected in real time on-site for each process during the production process of a prefabricated exterior wall.

The results of the current value stream map indicate that the main problems of the current production process are related to equipment, technology and organization. The equipment problems include simple demolding and cleaning tools and the lack of professional transfer channels. The technology problems include the lack of a marking mechanism and pipeline exit mechanism. There is a lack of standard operating procedures and incomplete process convergence. A comparison and analysis of the current value stream and the future value flow indicate that optimizations of the process flow, the production line layout, and the standard operating procedures have shortened the delivery cycle, reduced the number of workers, improved the operator’s operating level and balanced the production line.

The results of this study provide practitioners with a clear understanding of the optimization of the precast concrete component production and represent a method and basis for the process optimization of a factory production line; the approach is suitable for process optimization in other areas.

This research represents an innovative application of lean production theory and value stream mapping in a complex production line of precast concrete components and thereby fills the gap between the theory and practice of the optimization of a precast concrete component production line.