Purpose This study aims to deal with supplier selection problem. The supplier selection problem has significantly become attractive to researchers and practitioners in recent years. Many real-world supply chain problems are assumed as multiple objectives combinatorial optimization problems. Design/methodology/approach In this paper, the authors propose a multi-objective model with fuzzy parameters to select suppliers and allocate orders considering multiple periods, multiple resources, multiple products and two-echelon supply chain. The objective functions consist of total purchase costs, transportation, order and on-time delivery, coverage and the weights of suppliers. Distance-based partial and general coverage of suppliers makes the number of orders of products more realistic. In this model, the weights of suppliers are determined by fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, as a multi-criteria decision analysis method, in the objective function. Also, the authors consider the parameters related to delays as triangular fuzzy numbers. Findings A small-sized numerical example is provided to clearly show the proposed model. The exact epsilon constraint method is used to solve this given multi-objective combinatorial optimization problem. Subsequently, the sensitivity analysis is conducted to testify the proposed model. The obtained results demonstrate the validity of the proposed multiple objectives mixed integer mathematical programming model and the efficiency of the solution approach. Originality/value In real-life situations, supplier selection parameters are uncertain and incomplete. Hence, the fuzzy set theory is used to tackle uncertainty. In this paper, a multi-objective supplier selection problem is formulated taking into consideration the coverage of suppliers and suppliers’ weights. Integrating coverage of suppliers to select and allocate the order to them can be mentioned as the main contribution of this study. The proposed model considers the delay from suppliers as fuzzy parameters.

Nowadays the world of manufacturing and production has been encountered with a constantly changing behavior’s of customers. Moreover in the global market, a company can survive if it has the efficient capabilities for rapid product development.These capabilities are known to be important and they mainly affect on the market penetration and cost reduction. One way to enhance such capabilities is to integrate the essential activities of a manufacturing with the help of information technology. In recent years, the researchers have proposed integration of the computer-aided design (CAD), computer-aided manufacture (CAM) and computer-aided process planning (CAPP) as the main phases of product development lifecycle. These phases play an important role in the manufacturing environment and their integration will result in high-class production with minimum lead time. This paper focuses on the die design and process planning activities to produce the molds seamlessly . It studies the recent works on integration solutions and proposes an integration framework for glass bottle manufacturing companies.The paper considers the integration of the part design, macro process planning and the mold design activities. Moreover, the solution has used the ISO 10303 (STEP standard-International Standard for the Exchange of Product data). The novel aspects of the framework have been discussed through a case study. The case study highlights the integration of glass bottle design, process planning and bottle mold design to show the capabilities of the proposed framework.