The main goal of this paper is to develop a framework to support the supplier selection process in an Iranian automotive industry. Although numerous criteria are being used for the selection of suitable supplier, selection of the critical factors in conformance to the specification of the automotive industries is less investigated. In order to fill this gap, this research was carried out to systematically propose a framework comprising of the most critical factors for the aim of supplier selection. A literature survey was conducted and measures for assessing the suppliers were extracted. Nominated Group Technique (NGT) was deployed to extract the most critical performance measures from the initial list. Seven measures were found to be proper for the supplier selection process. A Fuzzy Analytical Network Process (FANP) was then proposed to weight the extracted measures and determine their importance level. The model was then implemented to assist an automotive company for the aim of its supplier selection

Purpose: In recent years, the balanced scorecard (BSC) has received considerable interest among practitioners for managing their organization’s performance. Unfortunately existing BSC frameworks, particularly for humanitarian supply chains, lack causal relationships among performance indicators, actions, and outcomes. They are not able to provide a dynamic perspective of the organization with factors that drive the organization’s behavior toward its mission. Lack of conceptual references seems to hinder the development of a performance measurement system toward this direction. The paper aims to discuss these issues. Design/methodology/approach: The authors formulate the interdependencies among key performance indicators (KPIs) in terms of cause-and-effect relationships based on published case studies reported in international journals from 1996 to 2017. Findings: This paper aims to identify the conceptual interdependencies among KPIs and represent them in the form of a conceptual model. Research limitations/implications: The study was solely based on relevant existing literature. Therefore further practical research is needed to validate the interdependencies of performance indicators in the strategy map. Practical implications: The proposed conceptual model provides the structure of a dynamic balanced scorecard (DBSC) in the humanitarian supply chain and should serve as a starting reference for the development of a practical DBSC model. The conceptual framework proposed in this paper aims to facilitate further research in developing a DBSC for humanitarian organizations (HOs). Originality/value: Existing BSC frameworks do not provide a dynamic perspective of the organization. The proposed conceptual framework is a useful reference for further work in developing a DBSC for HOs.

Purpose: In recent years, several performance indicators have been proposed in humanitarian supply chains (HSCs). Selecting the most relevant key performance indicators (KPIs) is challenging for some humanitarian organizations (HOs) because it involves a considerable amount of complexity and information overload which could lead to judgment biases in the decision-making process. Existing performance measurement studies lack critical analysis for prioritization of performance indicators. Since the process of KPIs selection and categorization is a complex, domain based and subjective process, a systematic guideline is needed. To address this gap, the purpose of this paper is to propose an integrated performance measurement scheme that can consolidate KPIs into an overall performance score based on the weighting of the performance indicators in HSCs. Design/methodology/approach: Data collection was based on questionnaire surveys and direct interviews with practitioners from international HOs. Findings: This paper proposes an integrated scheme based on balanced scorecard and analytic hierarchy process for performance evaluation of HOs. Research limitations/implications: The respondents were limited to the humanitarian logistics experts from Malaysian-based international HOs. Practical implications: The scheme enables the benchmarking of HOs’ performance that could be useful for decision makers in HSCs. Originality/value: This paper provides the ranking and prioritization of KPIs in HSCs. The approach presented in this paper enables an effective and integrated performance measurement in HSCs.

In spite of the vast amount of studies on green supplier selection and related methods and approaches, the evaluation of green supply chain performance indicators aligned with classic measures is less investigated. Therefore, this research attempted to provide an integrated step by step procedure to consider both classical and green key performance indicators within the supplier selection framework. A literature survey was conducted and measures for assessing the green suppliers were extracted. Nominal Group Technique (NGT) is deployed to extract the most critical performance measures. Ten performance measures were selected as a substitute for green supplier selection. A Fuzzy Analytical Network Process (FANP) was then deployed to weight the extracted measures and determine their importance level