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The purpose of this paper is to develop the methodology which can facilitate the concept of reconfiguration in the manufacturing system.

Design methodology includes the calculation of similarity matrix, formation of part family, and selection of part family. ALC algorithm has been used for part family formation and three criteria have been considered for the selection of part family. These criteria are reconfiguration effort, under-utilization cost, and floor space cost. AHP has been used to calculate the weights of criteria and reference ideal method has been used for the selection of alternatives.

In the manufacturing system, machines should be grouped on the basis of reconfiguration cost. When the time period is less, light machines and Group 1 machines are added and removed. In the case study, the concept of reconfiguration is useful for families (A, B, C, D). Machines can be reused by adding/removing some modules of machines. The concept of reconfiguration becomes more useful when it is implemented with lean manufacturing. Lean manufacturing techniques Jidoka and Poka-yoke are used to increase the diagnosability of the system.

Industrial case study has been considered.

Market competition is increasing rapidly and it increases the demand and variety of products, due to which manufacturing enterprises are forced to adapt a manufacturing system which can adjust its capacity and functionality quickly at low cost. To reconfigure manufacturing system from one product/product family to another product/product family, changes can be done in hardware and/or software components in response to sudden changes in the market or in regulatory requirements.

An integrated approach for reconfiguration has been proposed considering the industrial application. It includes weighted Jaccard function, ALCA, AHP, RIM. The methodology for calculation of reconfiguration effort, under-utilization cost, and floor space cost has been presented for industrial case.

This paper aims to examine the perception of parents regarding the role of children as influencers in family consumption decisions in India. The purpose is to support marketing practitioners in understanding the stages of children's influence in the family using the theoretical perspective of the resource theory approach.

This study is based on a Web survey approach. Primary data were obtained from a sample of 180 mothers of adolescent children in the age group of 13–18 years and residing in rural and urban areas of Delhi (India) by administering a bilingual (Hindi/English) pre-tested “structured non-disguised” questionnaire designed on the Google Forms.

The findings that emerged from this study and as supported by the relative theory approach revealed that Indian parents perceive their children to exert a significant influence in family buying decisions, children's influence varies across stages of the decision-making process and the type of product and children's influence in family buying decisions is moderated by family structure but not by family size. The results of this study extend interesting and practical implications for marketing practitioners in India and by extension in other similar countries while designing and implementing marketing mix strategies in respect of goods and services meant for children/family consumption.

The findings that emerged from this study and as supported by the relative theory approach revealed that Indian parents perceive their children to exert significant influence in family buying decisions, children's influence varies across stages of the decision-making process and the type of product, and children's influence in family buying decisions is moderated by family structure but not by family size. Results of this study extend interesting and practical implications for marketing practitioners in India and by extension in other similar countries while designing and implementing marketing mix strategies in respect of goods and services meant for children/family consumption.

The results of this study support the notion that children exert considerable influence in family buying decisions in India across products, hence constitute a viable target market for different products consumed not only by them but by other family members as well. It is, therefore, vital that marketers wishing to penetrate family and/or child product markets must identify the person in the family who is likely to be more involved in the buying process and the extent of his involvement to carve effective promotional strategies.

The finding that although Indian children are actively participating across various stages of the decision-making process and their influence is strongest at the purchase initiation stage has peculiar social implications whereby families may be exposed toward eco-friendly green products and sustainable ways of living through the children in rural as well as urban areas. Similarly, children were also found to be influential at the information search and evaluation stage; hence, the messages regarding social issues, gender equality and health issues, which are not yet openly discussed in Indian families, may be imparted through children for better coverage and effectiveness.

Children are an important part of the family; especially in the nuclear families, children are an apple of eye and central point of the discussion. The role of children in decision-making is also important because of the changing information system and modernization of the younger generation. This is an empirical study focusing on the areas not yet explored and examined in the context of a culturally distinct and emerging country in terms of the emergence of children as influencers in family consumption decisions in rural and urban Indian families.

Reconfigurable machines tools (RMTs) are gaining momentum as the new solutions to customised products in the manufacturing world. The driving force, among others, behind these machines is the part envelope and the part family of products that they can produce. The purpose of this paper is to propose a new class of RMT known as a reconfigurable guillotine shear and bending press machine (RGS&BPM). A part family of products that this machine can produce is developed using hierarchical clustering methodologies. The development of these part families is guided by the relationship of the parts in the family in terms of complexity and geometry.

Part families cannot be developed in isolation, but that process has to incorporate the machine modules used in the reconfiguration process for producing the parts. Literature was reviewed, and group technology principles explored, to develop a concept that can be used to develop the part families. Matrices were manipulated to generate part families, and this resulted in the development of a dendrogram of six possible part families. A software with a graphic user interface for manipulation was also developed to help generate part families and machine modules. The developed concept will assist in the development of a machine by first developing the part family of products and machine modules required in the variable production process.

The developed concepts assist in the development of a machine by first developing the part family of products and machine modules required in the variable production process. The development of part families for the RGS&BPM is key to developing the machine work envelope and modules to carry out the work. This work has been presented to demonstrate the importance of machine development in conjunction with a part family of products that the machine will produce. The paper develops an approach to manufacturing where part families of products are developed prior to developing the machine. The families of products are then used to develop modules that enable the manufacture of the parts and subsequently the size of the machine.

The research was limited to the development of part families for a new RGS&BPM, which is still under development.

The study reflects the development of reconfigurable machines as a solution to manufacturing challenges in terms of group technology approaches adopted in the design phase. It also highlights the significance of the concepts in the reconfigurable machine tool design. The part families define the machine work envelop and its reconfiguration capability.

The success of the research will usher an alternative to smaller players in sheet metal work. It will contribute to the easy development of the machine that will bridge the high cost of machine tools.

The study contributes to the new approach in sheet metal manufacturing where dedicated machines may be substituted by a highly flexible reconfigurable machine that has a dual operation, making the investment for small to medium enterprises affordable. It also contributes to the body of knowledge in reconfigurable machine development and the framework for such activities, especially in developing countries.

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.

The purpose of this paper is twofold. First, it is to introduce a knowledge‐based system for planning processes for families of final products, instead of component items, be they parts or assemblies. Second, it is to demonstrate the feasibility and potential of a prototypical system developed for planning processes families for truck families from a multinational company.

The authors first identify the challenges in planning process families, including data and knowledge representation and constraint handling. To accommodate these challenges, the paper adopts the integrated product and process structure (IP²S) and colored timed Petri nets (CTPNs) in the proposed knowledge‐based process family planning system. On top of the IP²S and CTPNs, XML‐based knowledge representation is employed to alleviate the difficulties in modelling complex product and process family data and planning knowledge while enabling information exchange across different operating platforms. In addition, in accordance with the correspondence between PNs and knowledge‐based systems, a mechanism is designed to cope with the generation of production rules, which model constraints.

The proposed system is able to automatically generate production processes for customized products. At a higher level, such production processes provide input (e.g. operations, machines) to downstream activities for planning process details to manufacture component parts or component assemblies.

Traditional trial and error approaches to planning processes limit production performance improvement when companies need to timely produce diverse customized products. Knowledge‐based systems should be developed to help companies better plan production processes based on the available manufacturing resources.

Unlike most reported studies addressing either detailed process planning or assembly planning for component parts or component assemblies, this study tackles process planning for final products, in attempting to maintain production efficiency from a holistic view.

This paper seeks to argue that family purchase decision making at the bottom of the pyramid (BOP) is dynamic, heterogeneous and an evolving process that can be influenced by contextual macro‐environmental constraints. Because established perceptions of family purchase decision making are primarily drawn from western markets, this Zimbabwean study aims to provide a contrasting perspective.

Qualitative data collection methods comprising in‐depth, one‐to‐one consumer interviews, focus groups, ethnographic observations and cases studies were used to conduct the research.

Key findings include the identification of changing and multiple family buying models, which are influenced by the constraints consumers face at the BOP, as well as the distinct roles of children, which differ from those common in developed western countries.

The sample used for consumer interviews is small and confining the focus to the food and personal hygiene sector may limit generalization of findings to a broader population.

The study provides managers with insights on the importance of understanding family purchase decision making at the BOP and the importance of adapting the marketing mix elements such as promotion strategies to suit the challenges faced by these consumers.

The study provides insights into how firms can improve livelihoods at the BOP by provision of employment and business opportunities through their partnerships with social networks.

Research into the BOP is a relatively new area of study in international business. The majority of studies have focused on Latin America and Asia, ignoring the 800 million BOP consumers in Africa. Hence this research expands knowledge in the area by employing empirical mixed research methods to study consumers in their real world setting thereby providing new insights on marketing to the BOP.

This paper investigates the influence of firms' communication in terms of family firm identity and country-of-origin on consumer response.

A self-supplied online experiment in Chile and Spain is employed using as dependent variables brand trust and intention to buy. The experiment includes the following factors: family firm identity (family vs non-family), country of origin (national vs foreign) and as a manipulation check (type of product: hedonic vs utilitarian).

The results indicate that communicating the family firm identity increases brand trust and purchase intention. Consumers show higher scores on trust and purchase intention when exposed to national country of origin products. The effect of the variability on the dependent variables is greater when the family firm identity is communicated. Trust and purchase intention are different in Chilean and Spanish consumers when the family firm identity is combined with a national country of origin cue.

This article contributes to family business theory by exploring how to capitalize on the family firm identity component in brand communication. It also contributes to the theory of corporate brand identity by proposing a communication model oriented toward consumer behavior. It also examines firms' communication (family firm identity and country-of-origin) on consumer.

There is a growing interest in understanding the strategic behaviour of family firms producing international commodities such as coffee, particularly in contexts where decisions about what products to sell, where to commercialise them and how to promote them appear to be highly based on both business and family aspects. The purpose of this paper is to explore product differentiation strategies in family firms in the specialty coffee industry across Latin American countries. Whilst the socioeconomic relevance of coffee production in Central America is unequivocal, the approach and rationale of families that engage in specialty coffee production remain underexplored.

This study examines product differentiation in specialty coffee family farms across countries in Central America: Guatemala, Honduras and Nicaragua. The study relies on in-depth interviews, case studies and an interpretative approach to unpick the dynamics of product differentiation by families in business dedicated to producing specialty coffee.

The findings show that product differentiation in specialty coffee family farms is influenced by both business and family aspects and driven by entrepreneurial stewards. Coffee-farming families can engage in product differentiation through a shared vision, a combination of traditional and specialised knowledge, and through the continuous development of an exchange network. The findings reveal a connection between families in business balancing family and business interests, and the strategic intention to build up their assets entrepreneurially over time.

This study contributes to the literature on stewardship and strategic behaviour in family firms when families in business engage in differentiating their products in a highly competitive industry. More specifically, this study focuses on companies across countries where coffee is of crucial socioeconomic importance, and where the said companies are owned and managed by families. The study expands understanding of product differentiation in family-enterprise-first businesses and suggests that the family elements in differentiation can be explained through an entrepreneurial stewardship perspective.

The purpose of this paper is twofold: to categorize and rank products based on children's influence and to compare their influence on the different stages of the family buying process.

The study was based on an extensive literature review and focus group discussions. Using a structured questionnaire, a survey was conducted with children aged 8‐12 years. The sample size was 175.

Factor analysis revealed three distinct product clusters: “loud”, “noisy” and “quiet” goods. Children's influence was found to be highest for noisy goods, lesser for loud goods and lowest for quiet goods. One‐way MANOVA analysis found that for loud and noisy goods children's influence was highest in the initiation stage, and lowest in the search stage. For quiet goods, the highest influence was in the final decision stage followed by initiation and choice stage.

The identified product clusters and children's relative influence across the buying stages for these clusters are expected to enhance marketer's understanding of children's role in family decision making. Marketers should take these observations into consideration while designing and implementing their marketing strategies.

The results are important because previous studies have dealt with children's influence for various products at a broad level. In this paper, an innovative segmentation for products based on children's influence level has been identified and the influence measured across these clusters.

This paper aims to examine the influence of family involvement in TMTs on product innovation efficiency and the contingent role of technological collaborations, combining insights from the resource-based view and the behavioral agency model.

This study empirically develops and tests the hypotheses using a longitudinal sample of 3,852 firm-year observations from Spanish manufacturing firms over the period 2006–2016.

The results reveal that family involvement in TMTs positively influences product innovation efficiency. The results also show that such positive effect is weakened as technological collaborations increase, and varies according to the partner type with whom the cooperation agreement is established. Specifically, the findings indicate that collaboration with suppliers appear to be the least detrimental for product innovation efficiency in family firms, followed by collaborations with customers and research organizations.

Family firms should consider appointing family members to their TMT to improve product innovation efficiency. Moreover, to enhance the effect of family management on product innovation efficiency, family managers should carefully select their technological partners.

This study is one of the first studies to theoretically explain and empirically demonstrate that family involvement in TMTs is a critical antecedent of product innovation efficiency and that technological collaborations moderate such link. Moreover, this study goes further in revealing that distinct types of partners have a differential moderating influence on the family involvement in TMTs-product innovation efficiency relationship. The results can be used to help managers and practitioners to boost innovation performance as well as to assist policymakers to design firm-level innovation policies to improve family firms' competitiveness.