Integrating design metrics within the early supplier selection process

It has been found from the contemporary research in the fields of supply chain management and concurrent engineering that significant benefits can be achieved if suppliers are involved in product development. However, recent investigations in manufacturing industries have revealed that early supplier involvement in the design process is not widely practiced. One issue is the lack of an appropriate customer–supplier interface to assess the suitability of suppliers with reference to design criteria. This paper proposes a mechanism for evaluating supplier involvement during product development. The assessment tool includes four types of distinctive indices to measure supplier involvement in the design process, namely: Satisfaction Index, Flexibility Index, Risk Index, and Confidence Index. These indices measure the extent to which both the customer requirements and the supplier capabilities match or mismatch and therefore reflect the potential or risk of signing a project contract. The proposed methodology is discussed within a multinational telecommunications company and preliminary analysis indicates that the approach provides an effective mechanism for selecting suppliers involved in the product development process.     

Business suppliers' value creation potential : A capability-based analysis

Joint value creation through partnering and networking is a topic of current interest. This paper proposes that the dimensions of the supplier's value creation in a supplier-customer relationship could be classified according to efficiency, effectiveness and network functions. These functions are interrelated, but they are conceptually distinct. The value creation process could be described as a spectrum ranging from core value, to added value, to future value. The value-producing potential of a supplier can be assessed reasonably well only in the case of the core value, where there is sufficient benchmarking information in the form of existing alternative offerings and solutions. A priori evaluation of the costs and benefits of added value and, especially, future value projects is problematic, because the realisation of the value is dependent on the development of multiple partners, technologies and industries. In these cases, we suggest that a customer could use a supplier's capability profile as an indicator of how suitable that particular supplier is for specific value creation projects. A framework connecting specific capabilities to different types of value production is suggested, and its managerial implications are discussed.     

Involving suppliers in product development: Insights from R&D directors and project managers

While there is increasing evidence that involving suppliers in new product development (NPD) is important, and for many firms even inevitable, there is also evidence that not all such efforts are successful. Firms aiming at implementing this strategy effectively have to pay close attention to several contingency factors on the organizational level and properly manage supplier involvement on the project level. The exploratory case study research underlying this article explores key issues to be considered when involving suppliers in NPD and the counter measures they can take. Our research shows that companies differentiate between so-called “know-how” and “capacity” projects, and that they manage them differently. Furthermore, this research shows that firms outside the automotive and high-tech manufacturing industries are likely to intensify supplier involvement in the future.     

Barriers to the “key supplierization” of the firm

The phenomenon of key supply management (KSM) in business companies is far less investigated than the phenomenon of key account management (KAM) which beneficiates, both in practice and in an academic context, from a growing interest. This article is based on the empirical analysis of a sample of 10 international companies which have recently launched KSM programmes or are currently working on launching such programs. It examines the difficulties these companies come up against when implementing such programmes and proposes to organize these difficulties around three dimensions: 1) the difficulties in implementing real supplier portfolio approaches; 2) the narrow view of value co-creation with suppliers, and 3) the persistent lack of integration of the purchasing function with other internal functions within the company. The conclusion of the article is that KSM is far from being a mere symmetric phenomenon of KAM. Several implications are then discussed in relation to the implementation of KSM programmes within companies.     

A decision method for supplier selection in multi-service outsourcing

Although supplier selection in multi-service outsourcing is a very important decision problem, research concerning this issue is still relatively scarce. This paper proposes a decision method for selecting a pool of suppliers for the provision of different service process/product elements. It pioneers the use of collaborative utility between partner firms for supplier selection. A multi-objective model is built to select desired suppliers. This model is proved to be NP-hard, so we develop a multi-objective algorithm based on Tabu search for solving it. We then use an example to show the applicability of the proposed model and algorithm. Extensive computational experiments are also conducted to further test the performance of the proposed algorithm.     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

Making sustainable sourcing decisions: practical evidence from the automotive industry

Achieving environmental and sustainable performance within an organisation’s supply chain and manufacturing operations will be feasible if upstream supply partners have the same commitments in performing their operations in a sustainable manner. Given the debate above, we propose a comprehensive framework to address the sustainable supplier selection and order allocation (SSS&OA) problem. The framework developed is practical, that starts by using an audition check-list specific for each sustainability dimension (environmental, economic and social), from which the weighted values of its comprised criteria are obtained. The weighted scores of the selected sustainable suppliers are utilised by a proposed bi-objective order allocation model in order to make sourcing decisions. The strength of the proposed framework is its practical applicability to provide a solution for SSS&OA problems which is validated through a real-world application. Finally, research findings, theoretical and managerial insights and also directions for additional research are presented.     

From market to hierarchy: An empirical assessment of a supply chain governance typology

This study performs an empirical assessment of the highly influential supply chain governance typology put forth in Gereffi et al. (2005). In spite of the influence this Global Value Chain (or GVC) Typology has had, there have been few (if any) attempts to empirically assess its alignment with real-world supply chain structures and to establish a baseline for its predictive utility. The GVC Typology is assessed for face and nomological validity through testing of its key dimensions in relation to purchasing-logistics integration and supplier performance measures, using an information-processing theory framework. The GVC Typology appears to have considerable face validity as actual supply chain governance structures aligned well with those it proposes. It also has reasonable predictive power with regards to governance dimensions and integration, and in some connections between governance types, integration, and supplier performance. This study provides researchers with the tools to move this typology beyond the “conceptual” stage in their work, allowing for holistic and higher-level assessments of supply chain governance structures and changes. It may also help researchers and managers to consider when and to what extent purchasing-logistics integration should be fostered.     

Supplier empowerment: Mediating situational factors and perceived performance

The understanding of the behavioral and cognitive factors that affect organizations' performance has attracted increasing attention of scholars and practitioners. Based on the literature of psychological empowerment at the individual and the team levels, this study develops the concept of supplier empowerment in the context of purchasing and supply management. Further, this study proposes a research model that explores the role of supplier empowerment as a cognitive concept in mediating the relationship between situational factors (a supplier's process modularity and the mutual trust with its customers/buyers) and the supplier's perceived performance in its operations and customer service. This model is tested with 208 responses from automotive industry suppliers. The findings highlight the importance of empowered suppliers in decreasing inventory levels and increasing order fulfillment performance.