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Increasingly, a firm’s innovation capability has become one of the key frontiers of competitive advantage. The Lean philosophy has a well-proven reputation for its focus on process efficiency and effectiveness, and therefore, is often applied in various areas of innovation. Such wide and ever-increasing applicability also has resulted in an incoherent corpus of literature on Lean innovation. The purpose of this paper is to conceptualize an integrative view on Lean innovation management.

Based on a systematic literature review, the key Lean principles and practices useful in the context of innovation management are identified and synthesized into an all-inclusive framework. By means of three illustrative cases (i.e. public hospital, electronics company and avionics manufacturer), this paper elaborates on how the proposed framework can be applied.

A total of 88 publications are analyzed, leading to 34 Lean principles and practices relevant to innovation management, which are further integrated into a comprehensive model, dubbed the “Leanovation” framework.

This study is the first attempt to advance the understanding of various interrelated and interdependent components of Lean innovation management in a holistic way.

The primary purpose of this paper is to examine empirically the significant determinant for supply chain partnering (SCP) that can be applied by the firms to increase their effectiveness in SCP efforts. Next, the paper intends to examine the impact of scalable partnering towards the effectiveness of SCP.

To address the research problem, a survey instrument is developed and a structured model is hypothesized and tested using SPSS tool. Data are collected from a field research on a sample of 584 companies in Malaysia.

The result of this research indicates that resource sharing have positive influences on SCP. Increasing scalable partnering would also lead to increases in the effectiveness of SCP.

One of the limitations of the study is that the use of a single key informant for the data collection from the respective companies. A more stringent test of the relationships between scalable partnering and its impact in SCP requires a longitudinal study.

Managers must also recognize the influential role of scalable partnering which actually motivates channel partners to continue their investment in SCM initiatives. Thus, managers should pay more attention to the need of channel member to generate a higher level of confidence in scalable partnering.

While SCP and its determinant exist in prior research, this paper contributes a new variable “Scalable Partnering” towards strengthening the relationship among the supply chain partners.

Supply chain partnering (SCP) in internationally operating companies is still not adequately addressed in the literature. The purpose of this paper is to examine the factors towards effective SCP across two organizations of different origins (Company A and Company B).

The central issue is to investigate how information flow, organizational linkage, supply chain infrastructure, and resource sharing exhibit themselves in the SCP through a case study method.

The interviews reveal that Company B tends to be a reluctant player and is far more skeptical about the benefits afforded through such a relationship. It can also be concluded that Company B is less interested in the benefits gained and is more likely to highlight the risks associated with heightened dependence on a smaller number of suppliers. On the one hand, it can be stated that Company B thinks about the gains afforded by partnering supply chains but is more easily swayed by traditional purchasing metrics related to cost or initial purchase prices. On another level, Company A seems to fully participate in SCP efforts and sees the benefit from such a relationship.

The interviews are necessary for developing basis understanding on how companies implement SCP, especially to examine the factors that contribute to its successful. The study suggests that larger number of sample need be used.

From the case study, it is believed that firms appear to confirm a positive and significant relationship between the degree of resource sharing and organizational linkage, if they see that scalable partnering efforts as hypothesized are workable.

The case study highlights is the important role of the partnering to support supply chain process and to deliver high‐quality service. This is important because the profitability and survival of the chains depend on how well partnering concept been implemented.

Induction motors (IMs) are considered one of the most important elements of the industrial process. However, in this environment, these machines are subject to electrical and mechanical faults, which may cause significant financial losses. Thus, the purpose of this paper is to propose an optimal identification of inter-turn insulation faults present in the random wound IM.

The design approach deals with a simple technique, using the effect of the inter-turn fault in modifying the high-frequency components of the applied pulse-width-modulated voltage.

The change in insulation strength between the turns affects the capacitive component of the stator line current. Resulting changes in wave shapes of the applied voltage have been studied with respect to both the distance of inter-turn faults from line end and reduction in the insulation strength, and hence in the insulation resistance value.

Studies have been conducted by using computer simulation and validated by experiments. There is ample evidence that an impending and progressing inter-turn fault can be identified in adjustable speed drives driven by frequency converters by studying line-end coil-voltage waveforms.

The concept of agile manufacturing is becoming critically important to manufacturing industry due to rapid industrialization, fluctuating customer demand, and turbulent business environment. The aim of this study is to prioritize the attributes for successful implementation of agile manufacturing using a combined analytical hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach in Indian manufacturing industry.

The current study identifies eight agile manufacturing attributes through literature review and discussion with subject experts. The experts from different manufacturing industry have been asked to provide data for pairwise comparison of attributes. Afterward, an integrated AHP and TOPSIS approach is employed. The AHP is used to drive the priority weights of the attributes, and TOPSIS is used for prioritizing the attributes for successful implementation of agile manufacturing.

“Information technology,” “human resource management-related issues,” “customer-related issues,” “leadership support,” and “organizationalc related-issues” have been ranked as the top five significant and contributing attributes, which can pave the path for top management to concentrate on the critical areas and allocate significant resources to ensure successful implementation of agile manufacturing.

This research integrates AHP and TOPSIS to prioritize the attributes for successful implementation of agile manufacturing, which are further validated by comparing the ranks obtained through respective approach and sensitivity analysis.

Artificial Neural Networks (ANNs) have many potential applications virtually in wide areas ranging from engineering to management. Recently, a great deal of interest (and effort) has been directed towards using ANNs in business practice. In particular, they have been used in areas which were once reserved for multivariate statistical analysis. Owing to this they are often considered to be statistical methods. Marketing researchers and managers who are not aware of the conceptual differences between these two methods cannot use this new “cutting‐edge” technology effectively. Discusses the conceptual differences and similarities between the two methods, having in mind market researchers and managers who are looking for new tools to support their decision making.

This research integrates maintenance planning and production scheduling from a green perspective to reduce the carbon footprint.

A mixed-integer nonlinear programming (MINLP) model is developed to study the relation between production makespan, energy consumption, maintenance actions and footprint, i.e. service level and sustainability measures. The speed scaling technique is used to control energy consumption, the capping policy is used to control CO2 footprint and preventive maintenance (PM) is used to keep the machine working in healthy conditions.

It was found that ignoring maintenance activities increases the schedule makespan by more than 21.80%, the total maintenance time required to keep the machine healthy by up to 75.33% and the CO2 footprint by 15%.

The proposed optimization model can simultaneously be used for maintenance planning, job scheduling and footprint minimization. Furthermore, it can be extended to consider other maintenance activities and production configurations, e.g. flow shop or job shop scheduling.

Maintenance planning, production scheduling and greenhouse gas (GHG) emissions are intertwined in the industry. The proposed model enhances the performance of the maintenance and production systems. Furthermore, it shows the value of conducting maintenance activities on the machine's availability and CO2 footprint.

This work contributes to the literature by combining maintenance planning, single-machine scheduling and environmental aspects in an integrated MINLP model. In addition, the model considers several practical features, such as machine-aging rate, speed scaling technique to control emissions, minimal repair (MR) and PM.

Restructured shrimp made with three different formulations were evaluated using subjective and objective texture analysis. The three formulations showed statistical similarities with breaded whole shrimp in terms of gumminess and oily cover in mouth, and differed in relation to firmness, elasticity, cohesivity, adhesivity, moisture release, stickiness in mouth and overall texture impression. The objective texture evaluation showed significant differences in respect to cohesivity, adhesivity and gumminess between breaded whole shrimp and the three formulae, and in reference to hardness, between formulations.

Among the many accepted clustering techniques, the fuzzy clustering approaches have been developed over the last decades. These approaches have been applied to many areas in manufacturing systems. In this paper, a fuzzy clustering approach is proposed for selecting machine cells and part families in cellular manufacturing systems. This fuzzy approach offers a special advantage over existing clustering approaches as it presents the degree of membership of the machine or part associated with each machine cell or part family allowing users flexibility in formulating machine cells and part families. The proposed algorithm is extended and validated using numerical examples to demonstrate its application in cellular manufacturing.

The purpose of this chapter is to critically evaluate the development of technological infrastructure and the propensity of Latin America and the Caribbean (LAC) destinations to adopt digitalisation in their hotel sectors. This paper focuses on technological readiness, the types of digitalisation and its influence on the hotel sector in a post-pandemic environment.

The chapter is a critical and conceptual overview of digitalisation in the Latin America and the Caribbean hotel sectors, the contribution of the hotel sector to tourism economies, and digitalisation in LAC post COVID-19. A comprehensive examination of the academic literature is combined with the Network Readiness Index (NRI) and Travel and Tourism Competitiveness Index (TTCI) on several LAC countries focusing on different scopes including ICT readiness, ICT environment and business usage from 2010 to 2020. The paper uses empirical data collected from NRI and TTCI on several LAC countries examining changes in development of information and communications technology (ICT) by conducting a longitudinal analysis over a ten-year period.

The chapter argues that digitalisation in the hotel sector has been given a lot of attention regarding the adoption of digitalisation during the pandemic by a continuation of activities involving check-in and check-out, providing safety for guests and staff and the recovery of the hotel sector by both hoteliers and academics. Yet, LAC have been slow when it comes to the development of ICT. This is shown on the NRI and the TTCI by their position on ICT infrastructure, ICT environment and business usage. Nevertheless, while their positions on the indexes are less than favourable, their scores are improving, but at a very slow rate.

Limited academic literature is available on digitalisation in LAC countries. There is no consistent data on the NRI and TTCI year to year for some of the countries examined in this study.

This study provides a comprehensive review of technological infrastructure development of countries of Latin America and Caribbean countries with an emphasis on digitalisation in a hospitality context. The chapter is a critical examination of digitalisation in the hotel sector in a post-pandemic environment.