Supply chain partnerships within housing refurbishment have not been given much specific attention which may be found surprising because the refurbishment market is becoming of increasing importance compared to new construction and has specific characteristics that require adapted approaches to supply chain integration. In this paper approaches, expected benefits and challenges of supply chain partnerships within housing renovation are explored. From general literature on building process innovation, dimensions of supply chain integration and potential advantages and challenges of have been derived and employed in a preliminary inquiry among Dutch housing associations and their partners that are experimenting with supply chain partnering in housing refurbishment projects. The results indicate that approaches are in a relatively early stage of development towards ‘mature’ supply chain partnerships. Furthermore, many of the general expectations also apply to the Dutch housing refurbishment sector, but at a more detailed level, refurbishment may require specific attention for the division of tasks and risks between the partners, particularly regarding communication with tenants.
This paper reports a study on the importance of enablers in order for IT to support effective supply chain management, as perceived defined by different positions in the supply chain. In the study, a significant difference for the enabler “Funds for IT enablement” is found between the supplier position and other positions. Furthermore relations between the enablers are examined and research is done into why certain factors are being perceived more important than others.
Food production has put enormous strain on the environment. Supply chain network design provides a means to frame this issue in terms of strategic decision making. It has matured from a field that addressed only operational and economic concerns to one that comprehensively considers the broader environmental and social issues that face industrial organizations of today. Adding the term “green” to supply chain activities seeks to incorporate environmentally conscious thinking in all processes in the supply chain. The methodology is based on the use of Life Cycle Assessment, Multi-objective Optimization via Genetic Algorithms and Multiple-criteria Decision Making tools (TOPSIS type). The approach is illustrated and validated through the development and analysis of an Orange Juice Supply Chain case study modelled as a three echelon GrSC composed of the supplier, manufacturing and market levels that in turn are decomposed into more detailed subcomponents. Methodologically, the work has shown the development of the modelling and optimization GrSCM framework is useful in the context of eco-labelled agro food supply chain and feasible in particular for the orange juice cluster. The proposed framework can help decision makers handle the complexity that characterizes agro food supply chain design decision and that is brought on by the multi-objective nature of the problem as well as by the multiple stakeholders, thus preventing to make the decision in a segmented empirical manner. Experimentally, under the assumptions used in the case study, the work highlights that by focusing only on the “organic” eco-label to improve the agricultural aspect, low to no improvement on overall supply chain environmental performance is reached in relative terms. In contrast, the environmental criteria resulting from a full lifecycle approach is a better option for future public and private policies to reach more sustainable agro food supply chains.
Globalization has opened new markets to Small and Medium Enterprise (SMEs) and given them access to better suppliers. However, the resulting lengthening of supply chains has increased their vulnerability to disruptions. SMEs now recognize the importance of reliable and resilient supply chains to meet customer requirements and gain competitive advantage. Data analytics play a crucial role in developing the insights needed to identify and deal with disruptions. At the company level, this entails the development of data analytic capability, a complex socio-technical process consisting of people, technology, and processes.At the supply chain level, the complexity is compounded by the fact that multiple actors are involved, each with their own resources and capabilities. Each company’s data analytic capability, in combination with how they work together to share information and thus create visibility in the supply chain will affect the reliability and resilience of the supply chain. The proposed study therefore examines how SMEs can leverage data analytics in a way that fits with their available resources and capabilities to improve the reliability and resilience of their supply chain.Collaborative partners:Logistics Community Brabant, Transport & Logistiek Nederlands (TLN), SMINK, Kennis Transport, Logistiek Digitaal, Devoteam.
