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Article
Publication date: 1 February 1997

M. Aldanondo

Indicator definition is essential for manufacturing system performance evaluation. When the relevant decision system is hierarchical, so must be the indicators. Proposes…

Abstract

Indicator definition is essential for manufacturing system performance evaluation. When the relevant decision system is hierarchical, so must be the indicators. Proposes an indicator ‐ the stock profile, which fits multi‐level decision making for time relevant aspects. After a short survey of the problem, recalls basics of stock profiles, then presents their adaptation to multi‐level decision making and illustrates this with a flow‐shop production case study.

Details

Integrated Manufacturing Systems, vol. 8 no. 1
Type: Research Article
ISSN: 0957-6061

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Article
Publication date: 21 February 2018

Sara Shafiee, Katrin Kristjansdottir, Lars Hvam and Cipriano Forza

This paper aims to explore the use of the knowledge management (KM) perspective for configuration projects. Configuration projects implement configurators as information…

Abstract

Purpose

This paper aims to explore the use of the knowledge management (KM) perspective for configuration projects. Configuration projects implement configurators as information technology systems that help companies manage the specification process of customised products. An effective method of retrieving and formalising knowledge for configurators is essential, because it can reduce the risk of unsuccessful implementation and the time and effort required for development. Unfortunately, no standard KM frameworks are available specifically for configuration projects. This study identifies the knowledge necessary for different phases of a configuration project (which knowledge, for what purpose and from what sources), examines how it is transformed during a configuration project (what KM activities and tools are used) and establishes how the knowledge can be documented for future maintenance and updates.

Design/methodology/approach

This paper proposes a four-step framework for making the KM process more efficient in configuration projects. The framework is based on the literature, developed in collaboration with industrial partners and tested on four configuration projects in two engineering companies. The framework is a structured KM approach designed to save time for both domain experts and the configuration team. The authors have used a qualitative exploratory design based on multiple data sources: documentation, workshops and participant observation.

Findings

The proposed framework comprises four steps: determination of the system’s scope, to establish the project’s goal based on stakeholders’ requirements and prioritise the required products and processes; knowledge acquisition, to classify the knowledge according to the desired output and identify different knowledge sources; modelling and knowledge validation; and documentation and maintenance, to ensure that the KM system can be maintained and updated in the future.

Research limitations/implications

Because the framework is tested on a limited number of cases, its generalisability may be limited. However, focusing on a few case applications allows us to assess the effectiveness of the framework in detail and in depth to identify the practical challenges of applying it. The results of the tests support the framework’s validity. Although the framework is designed mainly for engineering companies, other industries could benefit from using it as well.

Practical implications

The individual steps of the framework create a structured approach for the KM process. Thus, the approach can save both time and resources for companies, without the need for additional investment.

Originality/value

A standard framework is lacking in the literature on KM for configuration projects. This study fills that gap by developing a KM framework for configuration projects, based on KM frameworks developed for IT projects, and KM tools.

Details

Journal of Knowledge Management, vol. 22 no. 5
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 10 November 2014

Tõnu Tõnutare, Kati Keert, Lech Szajdak and Ulvi Moor

The purpose of this study was to determine differences in taste-related and bioactive compounds of organically (OR) and conventionally (CONV) cultivated commercially…

Abstract

Purpose

The purpose of this study was to determine differences in taste-related and bioactive compounds of organically (OR) and conventionally (CONV) cultivated commercially produced strawberries (Fragaria × ananassa Duch.). Addresses the question if the consumers buying OR strawberries are likely to purchase fruits with better taste and richer in bioactive compounds than those buying CONV fruits.

Design/methodology/approach

Only information commonly available to the consumers [cultivar, quality class, product origin (country) and eco-labelling], was considered in selecting experimental material. “Polka” strawberries from 14 farms (7 OR and 7 CONV) from South Estonia were used for analyses.

Findings

No evidence was found that OR strawberries contain more bioactive compounds or have higher soluble solids content and titratable acids ratio (associated with better taste) compared to CONV strawberries. There were significant differences in content of total phenolics, anthocyanins, ascorbic acid, vitamin E, total antioxidant capacity, titratable acids and soluble solids between strawberries from individual farms irrespective of cultivation system.

Research limitations/implications

Our study was limited to strawberry “Polka” and some other cultivars might response differently to production systems.

Social implications

Consumers get information that by choosing an organic product in the marketplace, it is not guaranteed that this product has higher content of bioactive compounds.

Originality/value

Comparative studies of organic and conventional products are preferably performed with products grown at the same location with the same amount of nutrients etc. However, information of production site’s microclimate, soil texture or the amount of plant available nutrients is never available to the consumers. Therefore, our consumer-oriented approach might be valuable.

Details

Nutrition & Food Science, vol. 44 no. 6
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 7 December 2020

Casper Schou, Daniel Grud Hellerup Sørensen, Chen Li, Thomas Ditlev Brunø and Ole Madsen

The purpose of this paper is to investigate how necessary changes in a manufacturing system can be determined based on a new product specification. It proposes a formal…

Abstract

Purpose

The purpose of this paper is to investigate how necessary changes in a manufacturing system can be determined based on a new product specification. It proposes a formal modelling approach, enhancing the utilization of changeability of a manufacturing system given a set of changes in a product.

Design/methodology/approach

To develop the proposed modelling approach, a design science research method is used to iteratively frame an issue, develop a solution and evaluate it in a relevant environment. Evaluation is carried out through a case study.

Findings

A stepwise method is introduced, facilitating the creation of a model describing the relations between product characteristics within a product family and the changeability of a manufacturing system. Limitations of each manufacturing system module are evaluated to determine permittable changes in the product domain. This establishes clear relations between product attributes and manufacturing capabilities. Through this, users receive feedback on which parts of the manufacturing system must change, depending on changes in product attributes.

Research limitations/implications

Testing has been carried out in an academic learning factory setting. Products and processes are thus less complicated than an industrial setting. The system used for validation is highly modular by design.

Practical implications

The proposed approach could be used during product development, when determining characteristics and variety of new products, evaluating the consequences of changing the solution space. This implies a shorter time-to-market and lower product costs.

Social implications

Faster product development and shorter time-to-market would give manufacturers increased agility to track market needs, and ultimately lead to greater fulfilment of customer requirements.

Originality/value

The current body of literature focus on modelling either products or manufacturing systems. Little literature addresses both, but does not touch on identifying changes within parts of the manufacturing system, nor supports the high changeability proposed in this research.

Details

Journal of Global Operations and Strategic Sourcing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 7 March 2016

Olga Willner, Daryl Powell, Markus Gerschberger and Paul Schönsleben

The purpose of this paper is to conceptualize archetypes of engineer-to-order (ETO) to support companies in determining the appropriate degree of design standardization…

Abstract

Purpose

The purpose of this paper is to conceptualize archetypes of engineer-to-order (ETO) to support companies in determining the appropriate degree of design standardization and automation, and as a result achieve superior performance. Products of ETO manufacturers are classified in a 2×2 matrix using annual units sold and engineering complexity as dimensions.

Design/methodology/approach

This research adopted a theory refining approach based on multiple case studies. Seven ETO manufacturers from different industry sectors participated in the study. Data collection was primarily based on a series of in-depth interviews supported by observations and archival sources.

Findings

The paper proposes four distinct archetypes of ETO (complex, basic, repeatable, and non-competitive) and empirically validates three of them. The organizational structures and processes most suitable for the different archetypes are described, and standardization and automation strategies are linked to the quadrants of the matrix. The matrix can support practitioners in making strategic choices and provides a framework for benchmarking their ETO products and processes.

Originality/value

Existing conceptualizations of ETO consider the company as the primary object of investigation, rather than the product or product family. However, companies often have different product families demanding different strategies. Also, there is little or no focus on the engineering perspective. The authors move the engineering perspective to the center of investigation and identify a set of standardization and automation strategies for different types of ETO products.

Details

International Journal of Operations & Production Management, vol. 36 no. 3
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 27 April 2020

Luiz Philipi Calegari, Marianne Costa Avalone and Diego Castro Fettermann

This study is to propose a procedure to support decisions on which enablers should be employed to minimize the impact of barriers to implementing mass customization…

Abstract

Purpose

This study is to propose a procedure to support decisions on which enablers should be employed to minimize the impact of barriers to implementing mass customization strategies in food companies.

Design/methodology/approach

Through interpretive structural modeling, the authors analyzed the relationships between barriers. Then, with an approach similar to the quality function deployment technique, commonly used in general product and process development, the authors clarified the relationships between barriers and enablers.

Findings

The results revealed 19 barriers and 17 enablers for implementing food mass customization. The analysis indicates that most of the barriers (16) present strong associations with each other. The barrier “products with non-customizable features” depends on the whole chain of associations and causes a minor impact on the other barriers. In turn, the barrier “ingredient incompatibility” causes impact over the whole chain, and its dependence on other barriers is very low.

Research limitations/implications

The results were tested in a single Brazilian company in the food sector.

Practical implications

The findings can allow food manufacturing companies to focus their efforts on the improvement of enabling technologies, such as smart packaging, Internet of Things and additive manufacture.

Social implications

This study would help food companies to improve their business and provide better products to society.

Originality/value

There are few recommendations in the literature to how to implement mass customization strategy in companies from the food sector. This study fills in this gap presenting a procedure to guide managerial staff to develop this promising approach for food companies.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. 10 no. 4
Type: Research Article
ISSN: 2044-0839

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Article
Publication date: 4 September 2017

Ibrahim Garbie

The purpose of this paper is to present and identify the challenges toward implementing sustainability strategies both strategic and tactical (STs) and performance…

Abstract

Purpose

The purpose of this paper is to present and identify the challenges toward implementing sustainability strategies both strategic and tactical (STs) and performance measures (PMs) facing industrial organizations in newly industrialized countries.

Design/methodology/approach

Conducting a comprehensive survey on the published papers focused on the area of sustainability and/or sustainable development (S/SD) in manufacturing enterprises to identify the most common critical challenges. Setting with industrialists to determine which challenges the industrial organizations facing while implementing the S/SD strategies in terms of strategic, tactic and PMs. Using support logic techniques such as interpretive structural modeling (ISM) and interpretive ranking process (IRP) as modeling approaches to examine the contextual relationship among the STs and PMs individually “first phase,” to clarify and identify the most and least dominant factors, and to rank STs with respect to the PMs “second phase.”

Findings

The investigation shows that some challenges are more dominant and influential. Literacy and an awareness of sustainability, globalization and international issues and competitive strategies have emerged as the most dominant and key driving factors for STs in the ISM model, while the whole PMs are driven by remanufacturing and recycling factors in the ISM model. In addition, drivers and barriers to implementing S/SD challenges received the highest rank in the IRP model.

Research limitations/implications

Most of the STs and PMs were identified from academicians. Most of the manufacturing companies participated in the discussion; unfortunately, all are not familiar with the S/SD as a whole. They see to the S/SD from very narrow scope like climate change, environmental and energy issues only based on what they heard from media. Most of them are not fully interested to join with academicians to progress the work.

Practical implications

Most of the manufacturing companies are keen to investigate extremely sustainability challenges. Although this paper has a goal to provide a comprehensive framework to analyze, investigate and model sustainability challenges for industrial/manufacturing companies in different industrial sectors, most of the STs and PMs were identified from academicians. Most of the industrial/manufacturing companies participated in the discussion; unfortunately, all are not familiar with the S/SD as a whole. This study will help manufacturing/industrial companies to analyze and investigate the challenges toward implementing S/SD.

Originality/value

The originality of this paper is to identify the most common ST and PM challenges facing industrial organization toward implementing S/SD, modeling them into logical techniques and comparing between STs with respect to PMs.

Details

Journal of Manufacturing Technology Management, vol. 28 no. 7
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 8 April 2019

Francesco Galati and Barbara Bigliardi

Starting from the model of the initiation and evolution of inter-firm knowledge transfer in R&D relationships developed by Faems et al. (2007), the purpose of this paper…

Abstract

Purpose

Starting from the model of the initiation and evolution of inter-firm knowledge transfer in R&D relationships developed by Faems et al. (2007), the purpose of this paper is to refine and improve this model, assessing its reliability in a different and wider context and extending it according to the outcomes.

Design/methodology/approach

A multiple case-study approach was implemented, examining 34 dyadic inter-firm R&D relationships. This methodology suited the research goal of exploring the validity of a model in an area where little data or theory exists.

Findings

The theoretical model proposed by Faems et al. (2007) was improved, confirming the adequacy of the overall structure of their intuition and highlighting several differences in terms of factors that lead to the dissolution of R&D relationships. These differences mainly refer to partners’ similarities before starting R&D relationships, co-opetition situations, knowledge leakage/opportunistic behavior and reputation issues.

Originality/value

This work is the first to investigate two open research gaps related to the model of the initiation and evolution of inter-firm knowledge transfer in R&D relationships: the need for additional case studies in other contexts to develop a more general theory and the lack of research incorporating issues such as relational capital between partners, governance form and alliance scope in an integrated analysis.

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Article
Publication date: 4 July 2016

Dilupa Nakandala, Henry Lau and Andrew Ning

When making sourcing decisions, both cost optimization and customer demand fulfillment are equally important for firm competitiveness. The purpose of this paper is to…

Abstract

Purpose

When making sourcing decisions, both cost optimization and customer demand fulfillment are equally important for firm competitiveness. The purpose of this paper is to develop a stochastic search technique, hybrid genetic algorithm (HGA), for cost-optimized decision making in wholesaler inventory management in a supply chain network of wholesalers, retailers and suppliers.

Design/methodology/approach

This study develops a HGA by using a mixture of greedy-based and randomly generated solutions in the initial population and a local search method (hill climbing) applied to individuals selected for performing crossover before crossover is implemented and to the best individual in the population at the end of HGA as well as gene slice and integration.

Findings

The application of the proposed HGA is illustrated by considering multiple scenarios and comparing with the other commonly adopted methods of standard genetic algorithm, simulated annealing and tabu search. The simulation results demonstrate the capability of the proposed approach in producing more effective solutions.

Practical implications

The pragmatic importance of this method is for the inventory management of wholesaler operations and this can be scalable to address real contexts with multiple wholesalers and multiple suppliers with variable lead times.

Originality/value

The proposed stochastic-based search techniques have the capability in producing good-quality optimal or suboptimal solutions for large-scale problems within a reasonable time using ordinary computing resources available in firms.

Details

Business Process Management Journal, vol. 22 no. 4
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 14 March 2016

Ming-Chuan Chiu and Yi-Hsuan Lin

The purpose of this paper is to develop a decision support tool to use with design for additive manufacturing (DfAM) and design for supply chain (DfSC) such that the…

Abstract

Purpose

The purpose of this paper is to develop a decision support tool to use with design for additive manufacturing (DfAM) and design for supply chain (DfSC) such that the Supply Chain (SC) configuration for a personalized product can be optimized under various demand uncertainties.

Design/methodology/approach

A simulation-based methodology is proposed in this industry-university cooperative research. Through identifying the company requirements with interview, an application programming interface (API) and simulation model were developed to solve the DfAM and DfSC problems of case company. Based on customer preference, the SC configuration is analyzed and suggestions are developed according to simulation results at the product design.

Findings

Results show the supplementary capacity of the additive manufacturing (AM) process improves the SC performance in terms of lead time and total cost. This work identifies the research gap between AM and SC, and gives a comprehensive investigation of different performance indicators, such as order fulfill rate and waste rate.

Research limitations/implications

Metal AM technology was not in the mass production stage at the time of this study. Thus, this research mainly emphasizes a nonmetal AM process.

Practical implications

AM technology can improve SC performance through its supplementary capacity and help the SC to be more flexible, robust and resilient in terms of lead time and total cost. This research implements an API to assist decision making. The findings of this research provide case company a valuable reference while branching its business.

Originality/value

This is the first study that considers both DfAM and DfSC with the integration of an API. It also addresses the demand fluctuation level and stochastic demand of a personalized product in a unique approach.

Details

Industrial Management & Data Systems, vol. 116 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

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