Green supply chain is a new concept in recent literature. The purpose of the study is to identify the importance of different factors related to green practice, performance and pressure during manufacturing in Indian manufacturing industries. The approach of this research includes in depth literature review, experts interviews and questionnaire surveys. The questionnaires are developed and data are collected through mail and two rounds of data collection were carried out to obtain more reliable responses. The major activities of the green supply chain; namely internal environmental management system, green packaging, green purchasing, eco designing, cooperation with customers, internal recovery, environmental, positive economic, negative economic, regulatory, competition are covered throughout the research. Factor analysis is performed using IBM SPSS 21 statistical software to understand the importance of green supply chain. Factor analysis is used to obtain the relative importance of various factors of green practice, green performance, and pressure. The collected data are analyzed by applying “mean score” method and the graphs are designed in SPSS software to compare the different factors.

In this paper, a deterministic inventory model with depletion rate dependent holding cost is developed. The demand rate is a power function of the on-hand inventory behind to a certain stock level, at which the demand rate becomes a constant. Shortages are allowed and partially backlogged with the function of waiting time of next replenishment. It is also proved in this model that the optimal replenishment policy not only exists but also is unique. Furthermore, it is provided a simple solution procedure for finding the maximum total profit per unit time. Numerical examples have also been given to illustrate the model and real managerial fact in inventory holding for stock dependent demand.

This paper presents an empirical investigation to study the effects of retail brand on organizational competitiveness. The study has accomplished among 247 randomly selected retail stores located in city of Tehran, Iran. We have designed a questionnaire in Likert scale and distributed the questionnaires among some managers of retail stores. Bartlett KMO and Cronbach alpha have been calculated as 0.7 and 0.863, respectively, which are within the desirable levels. Using principal component analysis, the study has detected five factors influencing on organizational competitiveness including effective brand, distribution management, customer strategy, retail location and competitive tools. The highest value belongs to retail location (B = 1.196) followed by distribution management (B = 0.825), effective brand (B = 0.47) and competitive tools (B = 0.470).

Organized retailing (OZR) is one of the most promising industries in India. The OZR sector of India is now among the top five fastest growing markets of the world. High population, globalization, and the increasing income of middle class etc. are a number of factors that make Indian market more challenging and competitive. In today’s globalized world, effective supply chain performance (SCP) is highly important to ensure the productivity in the whole supply chain (SC). In this paper, we investigated the factors that affect cold supply chain performance (CSCP) of organized farm products retailing (OFPR), developed and validated a model. This research will be helpful to formulate better strategies for this sector to a greater extent; this model will also be useful and applicable for other developing Asian countries because of enormous similarities in their market tendencies.

In this paper, an integrated production-inventory model with multi-item is developed from the perspectives of single producer, multiple suppliers and retailers. In this three-layer supply chain, the retailers are non-competing. Every supplier delivers only single type of raw material to the producer. The producer manufactures finished goods from the combination of fixed percentage of different types of raw materials. The producer manufactures various types of objects and supplies them to retailers according to the demand of multiple retailers. This paper studies the impact of different types of business policies such as exponential demand rate, demand dependent production rate, optimum order size of raw materials, and unit production cost at each stage of integrated marketing system. Mathematica is used to develop the model and to optimize the integrated profit function. A numerical example and sensitivity analysis is illustrated to justify the feasibility of the proposed model.

This paper presents an empirical investigation to determine important business intelligence factors influencing on development of export activities. The study selects a sample of business developers who were involved in export activities in city of Tehran, Iran. Cronbach alpha based on standardized items was calculated as 0.882, which is well above the minimum desirable level. In addition, Bartlett & apos; s test of Sphericity yields a Chi-Square value of 3242.82 (df = 861, Sig. = 0.000). Using principle component analysis, the study has determined four factors including competitive position, organizational resources, efficient system and customer orientation influencing on development of export activities.

Having a supply chain is an unavoidable fact and all companies should focus on if they wish to survive in the competitive business world. This paper ranks criteria influencing on behavior of a medicine manufacturer agent when its goal is to select the supplier agents to interact with across a pharmaceutical agent based supply chain. The pharmaceutical industry is important for countries due to the distinguished role of health in societies and Iran is not an exception too. Besides, the industry in this country is encountered with some limitations because of the situation imposed by sanctions. In this study, first, ten criteria were selected based on expert’s opinions, two categories of quantitative as well as qualitative criteria were chosen for ranking the criteria and then TOPSIS and PROMETHEE ? methods were applied to rank the criteria. According to the results of this survey, qualitative criteria were determined as important factors influencing on supplier selection.

In supply chain management, supplier performance is evaluated based on several criteria. In this paper, a fuzzy multi-objective mathematical programming model is presented to consider different qualitative and quantitative factors to choose appropriate suppliers and the optimal order quantity allocated to them. The proposed study uses analytical hierarchy process to rank different suppliers and a fuzzy multi-objective mathematical programming is presented to choose the best suppliers. The study uses NSGAII to solve the resulted problem and the model is analysed using some sample results under various circumstances. The study considers different Pareto solution set obtained by TOPSIS ranking algorithm, and eventually determines the best possible solutions.

Inventory planning for the pre- and post-disaster phases of disaster relief lifecycle is a challenging problem associated with the humanitarian relief supply chains. In this work, two mathematical models are presented encompassing the whole disaster relief lifecycle. By accounting for holding costs of perishable supplies, a two-stage stochastic programming model is first developed by which the inventory prepositioning locations, inventory levels, and short-term distribution quantities are determined. For the recovery phase, this research adapts the well-known continuous review (Q, r) inventory model for relief warehouses while accounting for the inherent epistemic uncertainty in the required data by using the fuzzy programming. A case study of Iranian Red Cross is also provided to illustrate the applicability of the first model and to demonstrate how it supports the two first phases of disaster lifecycle. Additionally, a numerical example is presented to demonstrate the applicability of the (Q, r) model for the recovery phase. Lastly, the impact of penalty costs on the solutions is discussed.