Template-Type: ReDIF-Article 1.0 Author-Name: Johan Lugnet Author-X-Name-First: Johan Author-X-Name-Last: Lugnet Author-Name: Åsa Ericson Author-X-Name-First: Åsa Author-X-Name-Last: Ericson Author-Name: Johan Wenngren Author-X-Name-First: Johan Author-X-Name-Last: Wenngren Title: Innovation supports for small-scale development in rural regions: a create, build, test and learn approach Abstract: Small and medium sized firms' businesses in rural regions typically address a home market and the delivery of niched products. This makes them exposed to business downturns, innovation is thus one way to survive and prosper. Small-scale product development is typically very hands-on, a sort of trial and error process. This experimental way is in favour for the implementation of innovation processes, but one challenge is the limited resources that firms can, or are willing to, spend on innovative work. A challenge is that procedures for organisational learning are lacking in the straightforward approach. The article describes the background and rationale for supporting small-scale manufacturing by introducing a support toolbox for early product development work. The support toolbox's rationale is built upon learning cycles and communicative prototyping which may enhance innovation process capabilities. Journal: Int. J. of Product Development Pages: 30-42 Issue: 1 Volume: 24 Year: 2020 Keywords: engineering design; creative concept development; design thinking; SME; small-scale manufacturing; small-scale development; innovation; early product development; learning. File-URL: http://www.inderscience.com/link.php?id=106446 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:1:p:30-42 Template-Type: ReDIF-Article 1.0 Author-Name: Saurabh Panwar Author-X-Name-First: Saurabh Author-X-Name-Last: Panwar Author-Name: P.K. Kapur Author-X-Name-First: P.K. Author-X-Name-Last: Kapur Author-Name: Nitin Sachdeva Author-X-Name-First: Nitin Author-X-Name-Last: Sachdeva Author-Name: Ompal Singh Author-X-Name-First: Ompal Author-X-Name-Last: Singh Title: Multi-generational technology management in a segmented environment Abstract: This paper examines the diffusion pattern of multi-generational technology innovation using segment-based analysis. The objective of the study is to comprehend the variation in the adoption behaviour of individuals across different geographical regions. The market of potential customers is geographically segmented into homogenous groups to epitomise the realistic technology diffusion in different markets. Three different S-shaped distribution functions, namely, Weibull, Logistic, and Gompertz are employed to understand the diffusion curves of multigenerational technology. The study critically examines two different scenarios depending on the condition that the substitution among two generations is possible within or across the market segments. The applicability of the proposed models is demonstrated using quantitative validation on the historical sales data set of IBM mainframe computers and Liquid Crystal Display (LCD) monitors. Additionally, the estimation ability and the forecasting performance of the present research are further compared with the well-established multi-generational diffusion model. Journal: Int. J. of Product Development Pages: 1-29 Issue: 1 Volume: 24 Year: 2020 Keywords: diffusion models; heterogeneous hazard rate; leapfrogging; multi-generation; segmented market; segmented-level diffusion; S-shaped distribution functions; substitution effect; switching; technology innovation. File-URL: http://www.inderscience.com/link.php?id=106447 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:1:p:1-29 Template-Type: ReDIF-Article 1.0 Author-Name: Kostas Stylidis Author-X-Name-First: Kostas Author-X-Name-Last: Stylidis Author-Name: Steven Hoffenson Author-X-Name-First: Steven Author-X-Name-Last: Hoffenson Author-Name: Monica Rossi Author-X-Name-First: Monica Author-X-Name-Last: Rossi Author-Name: Casper Wickman Author-X-Name-First: Casper Author-X-Name-Last: Wickman Author-Name: Mikael Söderman Author-X-Name-First: Mikael Author-X-Name-Last: Söderman Author-Name: Rikard Söderberg Author-X-Name-First: Rikard Author-X-Name-Last: Söderberg Title: Transforming brand core values into perceived quality: a Volvo case study Abstract: Core values are an important part of Volvo Car Group's and Volvo Trucks' strategic development plans. These two companies share the same core values, quality, safety, and environmental care, but they approach these values in different ways. This study seeks to understand how industry professionals and customers perceive these core values and the attributes that are associated with them, using semi-structured interviews with industry professionals from both companies and quantitative survey methods with customers. The purposes of this study are to investigate how designers convey core values to customers through product attributes and how customers perceive those core values through the same attributes. Such an understanding reveals the commonalities and discrepancies between the perspectives of producers and customers, and can contribute to more effective design processes that communicate company values in the early product development phases. Journal: Int. J. of Product Development Pages: 43-67 Issue: 1 Volume: 24 Year: 2020 Keywords: automotive design; product development; communication; perceived quality; core values. File-URL: http://www.inderscience.com/link.php?id=106448 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:ijpdev:v:24:y:2020:i:1:p:43-67 Template-Type: ReDIF-Article 1.0 Author-Name: Alessandro Bertoni Author-X-Name-First: Alessandro Author-X-Name-Last: Bertoni Author-Name: Xin Yi Author-X-Name-First: Xin Author-X-Name-Last: Yi Author-Name: Claude Baron Author-X-Name-First: Claude Author-X-Name-Last: Baron Author-Name: Phillippe Esteban Author-X-Name-First: Phillippe Author-X-Name-Last: Esteban Author-Name: Rob Vingerhoeds Author-X-Name-First: Rob Author-X-Name-Last: Vingerhoeds Title: A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making Abstract: The paper presents a four-layer framework for the application of data-driven design in a product innovation process. The framework builds on the Knowledge Value Stream and on the Product Value Streams of a product innovation process and indicates how data-driven activities shall be structured and organised in relation to the different phases of a model-based decision process. Visualisation is proposed as a communication enabler at the top of the framework to overcome the comprehensibility barrier between data science and engineering design models. The framework is implemented in the case study of a construction equipment encompassing the analysis of operational machine data and the experimentation of suitable visualisation techniques. Ultimately, a list of challenges for the implementation of data-driven design is presented, and the capability of the framework to support the transition toward data-driven design is discussed in relation to the emergence of product-service systems solutions. Journal: Int. J. of Product Development Pages: 68-94 Issue: 1 Volume: 24 Year: 2020 Keywords: data-driven design; product innovation; product value stream; knowledge value stream; decision making; data visualisation; data analysis. File-URL: http://www.inderscience.com/link.php?id=106464 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:1:p:68-94 Template-Type: ReDIF-Article 1.0 Author-Name: Daniel Arias-Aranda Author-X-Name-First: Daniel Author-X-Name-Last: Arias-Aranda Author-Name: Francisco Gustavo Bautista-Carrillo Author-X-Name-First: Francisco Gustavo Author-X-Name-Last: Bautista-Carrillo Author-Name: José Fernández-Menéndez Author-X-Name-First: José Author-X-Name-Last: Fernández-Menéndez Author-Name: Beatriz Minguela-Rata Author-X-Name-First: Beatriz Author-X-Name-Last: Minguela-Rata Title: An empirical analysis of the impact of AMT and e-commerce on innovation and performance in Spanish firms Abstract: This research analyses the relationship between Advanced Manufacturing Technologies (AMT) and E-commerce with innovation and impact on performance in a sample of Spanish firms. Two models of analysis have been built. One focuses on the influence of technology usage on innovation and the other focuses on the effect of innovation on firm performance. Results outlined that AMT and e-commerce influence significantly the different innovation dimensions, such as the number and intensity of product and process innovations as well as organisational methods. This study shows how the use of AMT and ecommerce leads to higher levels of product, process, organisational and commercial innovation. In addition, innovation influences significantly and positively firm performance. Journal: Int. J. of Product Development Pages: 235-256 Issue: 2/3 Volume: 24 Year: 2020 Keywords: advanced manufacturing technologies; innovation management; e-commerce; performance; product and process innovation; organisational methods. File-URL: http://www.inderscience.com/link.php?id=110259 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:235-256 Template-Type: ReDIF-Article 1.0 Author-Name: Yu-Jie Wang Author-X-Name-First: Yu-Jie Author-X-Name-Last: Wang Author-Name: Wan Wang Author-X-Name-First: Wan Author-X-Name-Last: Wang Author-Name: Dong-Xia Luo Author-X-Name-First: Dong-Xia Author-X-Name-Last: Luo Title: Optimisation model construction of enterprise's green production and energy saving based on internet technology Abstract: In order to overcome the problems of energy consumption and high cost in the traditional green production node optimisation model, a new energy-saving optimisation model based on internet technology is proposed. Using real-time monitoring centre, energy management network architecture, on-site data information sampling, energy management software, etc. to build enterprise production energy data monitoring and collection system. Based on the remote monitoring and related data collection, and with the constraints of saving resources and ecological protection as well as non-negative conditions, the enterprise green production energy-saving optimisation model is constructed, the proportion coefficient is introduced, the model is solved, and the enterprise green energy-saving optimisation is completed. The experimental results show that the model can effectively reduce the energy consumption and cost of production, and has high reliability. Journal: Int. J. of Product Development Pages: 95-111 Issue: 2/3 Volume: 24 Year: 2020 Keywords: internet technology; green production; energy saving optimisation; data monitoring. File-URL: http://www.inderscience.com/link.php?id=110264 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:95-111 Template-Type: ReDIF-Article 1.0 Author-Name: Kuiwu Liu Author-X-Name-First: Kuiwu Author-X-Name-Last: Liu Title: Distribution and transportation control of high-speed and flexible packing production line for medical kit based on green technology Abstract: In order to overcome the high power consumption of the traditional flexible box packing production line, this paper proposes a green technology-based control method of the box packing production line. The method installs sensors and controllers respectively. Using the real-time data fed back by sensors, it analyses the operation of the current box packing production line, constructs the kinematic model of the box packing transportation, and accesses a large number of peripheral circuits, using green technology, respectively from the transmission speed, working state and other angles, to achieve the control of the production line distribution transmission. The experimental results show that the average packaging time of the control method is 0.8375 min, the power consumption is 4232.857 kw, and the control performance is higher. Journal: Int. J. of Product Development Pages: 112-129 Issue: 2/3 Volume: 24 Year: 2020 Keywords: green technology; medical kit; high-speed and flexible packing production line; distribution control; transportation control. File-URL: http://www.inderscience.com/link.php?id=110265 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:112-129 Template-Type: ReDIF-Article 1.0 Author-Name: Siping Leng Author-X-Name-First: Siping Author-X-Name-Last: Leng Title: Scheduling method of green flexible production line for enterprise products based on task priority Abstract: In order to overcome the problems such as low efficiency of flexible production line and delay of production, this paper proposes a scheduling method of green flexible production line based on task priority. The mathematical model of green flexible production line scheduling is established with the constraints of non-interruptibility and machine uniqueness. The dynamic algorithm of task priority based on the number value of remaining operations is applied to the model to determine the priority distribution order. Through ant colony optimisation algorithm to determine the processing path, through the expression of pheromone and the establishment of ant colony solution to achieve green flexible production line scheduling. The experimental results show that the research method can effectively schedule the green flexible production line, and the machine utilisation rate is more than 90% of the processing level, which effectively reduces the production delay of the workpiece. Journal: Int. J. of Product Development Pages: 130-145 Issue: 2/3 Volume: 24 Year: 2020 Keywords: task; priority; enterprise product; green flexible production line; dispatch. File-URL: http://www.inderscience.com/link.php?id=110266 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:130-145 Template-Type: ReDIF-Article 1.0 Author-Name: Puguang Hou Author-X-Name-First: Puguang Author-X-Name-Last: Hou Author-Name: Jiawen Wu Author-X-Name-First: Jiawen Author-X-Name-Last: Wu Title: Multi-objective scheduling model of green production based on genetic algorithm under agricultural supply side structure Abstract: In order to improve the comprehensive economic, ecological and social benefits, a multi-objective scheduling model of green production based on the supply side structure of agriculture is proposed. The objective function is constructed from three aspects of economic benefit, social benefit and ecological benefit respectively. The inheritance algorithm is introduced to iteratively select operation, cross operation and variation operation, so as to achieve the optimal generation of the conditions, so that the optimal scheduling solution of the multi-objective scheduling model is obtained. The experimental results show that the error rate of temperature and humidity data acquisition is less than 0.01%, which can achieve multi-objective scheduling of green production with high precision. The output value of planting, animal husbandry, forestry and fishery all increased by 0.01-1 billion Yuan. The research method can obviously improve the output value of each industry and has a better application prospect. Journal: Int. J. of Product Development Pages: 146-162 Issue: 2/3 Volume: 24 Year: 2020 Keywords: agricultural supply side structure; green production; multi-objective scheduling. File-URL: http://www.inderscience.com/link.php?id=110267 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:146-162 Template-Type: ReDIF-Article 1.0 Author-Name: Chunming Wang Author-X-Name-First: Chunming Author-X-Name-Last: Wang Title: The control method of green production efficiency based on multi-layer and complex network under the background of export trade transformation Abstract: Under the background of export trade transformation, the traditional control method has many problems, such as big error and long time. This paper puts forward a green production efficiency control method based on multi-layer complex network under the background of export trade transformation. This paper analyses the current situation of China's industrial development and reveals the necessity of research. Under this background, green production efficiency control index is analysed and optimised; green production efficiency objective function is constructed by industrial production objective function and energy saving and emission reduction objective function; green production efficiency objective function is optimised by GABEC Algorithm, and green production efficiency objective function is optimised by multi-layer complex network model, thus green production efficiency control is realised method of manufacture. The experimental results show that this method has high precision and low control error in green production efficiency control. Journal: Int. J. of Product Development Pages: 163-181 Issue: 2/3 Volume: 24 Year: 2020 Keywords: export trade transformation; multi-layer and complex network; green production; efficiency control. File-URL: http://www.inderscience.com/link.php?id=110268 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:163-181 Template-Type: ReDIF-Article 1.0 Author-Name: Tao Xiao Author-X-Name-First: Tao Author-X-Name-Last: Xiao Author-Name: Tao Zhang Author-X-Name-First: Tao Author-X-Name-Last: Zhang Author-Name: Ning Zhang Author-X-Name-First: Ning Author-X-Name-Last: Zhang Title: Green production cycle mining of mass production based on random forest algorithm Abstract: In view of the problems of accuracy to be optimised in the research results of current production cycle mining for product, a method of green production cycle mining for mass production based on random forest algorithm is proposed. The environmental parameter information collection system of green production workshop for mass production is designed. The interest sensor collects the field information in real time, and transmits the information to the monitoring centre in the form of ZigBee and GPRS communication network. According to the collected data, the sample training model of random forest is constructed, and the decision tree is constructed with the trained data. According to the decision results, the time measurement results are dynamically combined to obtain the results of green production cycle mining for mass production. The simulation results show that this method has high accuracy and feasibility. Journal: Int. J. of Product Development Pages: 182-199 Issue: 2/3 Volume: 24 Year: 2020 Keywords: random forest algorithm; product; green production cycle; mining. File-URL: http://www.inderscience.com/link.php?id=110269 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:182-199 Template-Type: ReDIF-Article 1.0 Author-Name: Yinghui Liu Author-X-Name-First: Yinghui Author-X-Name-Last: Liu Author-Name: Ran Li Author-X-Name-First: Ran Author-X-Name-Last: Li Author-Name: Qixing Yin Author-X-Name-First: Qixing Author-X-Name-Last: Yin Author-Name: Samwell Tarly Author-X-Name-First: Samwell Author-X-Name-Last: Tarly Title: Product's green production method based on environmental management and ecological perspective of enterprise Abstract: The product production process will cause environmental pollution, resulting in low production efficiency and energy utilisation. A green production method based on corporate environmental management and ecological perspective is proposed. Design the overall route and process of product green production methods. Select the objectives of the enterprise's environmental management system, and construct the framework of the enterprise's environmental management system from an ecological perspective to control the use and production of pollutants in the production of raw materials and products. Based on the enterprise's environmental protection management system, an impact model of product green production is constructed, and environmental pollution caused by production is prevented and controlled from two aspects: raw material selection and product production process, and complete product green production. The experimental results show that the designed method has good green production effect, low environmental pollution, high production efficiency and high energy utilisation rate. Journal: Int. J. of Product Development Pages: 200-216 Issue: 2/3 Volume: 24 Year: 2020 Keywords: ecological perspective; enterprise's environmental management; green production of product; AHP evaluation. File-URL: http://www.inderscience.com/link.php?id=110270 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:200-216 Template-Type: ReDIF-Article 1.0 Author-Name: Xinzhan Liu Author-X-Name-First: Xinzhan Author-X-Name-Last: Liu Title: Green production benefit evaluation model of trade products based on principal component analysis Abstract: In order to overcome the problem that the accuracy of evaluation of production efficiency of products needs to be improved, a green production efficiency evaluation model of trade products based on principal component analysis is proposed. The evaluation index system is constructed from two aspects of economic benefit and comprehensive benefit. The main component analysis method is used to deal with the constructed evaluation index, determine the main component factors, introduce the fuzzy integral mechanism, and construct the fuzzy integral evaluation model of the optimisation degree of green production benefit of trade products, so as to evaluate the overall benefit level of green production of products. The experimental results show that the effectiveness of the evaluation is close to 100%. The model has a high degree of fit between the reference value and the evaluation value, and shows good application performance. Journal: Int. J. of Product Development Pages: 217-234 Issue: 2/3 Volume: 24 Year: 2020 Keywords: principal component analysis; product; green production; benefit evaluation. File-URL: http://www.inderscience.com/link.php?id=110271 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpdev:v:24:y:2020:i:2/3:p:217-234