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Today, the cement industry has gone through a growing trend. Achieving the country’s economic development, social development, and cultural development goals is essential. However, in line with these benefits, the environmental damage caused by cement factories is inevitable. In the present research, which was carried out to reduce environmental losses, value flow mapping and simulation by Arena software were used in two stages. It was determined in the first stage using the current simulated situation and the waste and environmental pollution created. Then by redrawing the future value flow map and using experts’ opinions, the amount of reduced pollution caused by some measures was estimated. Then, in the second stage a new simulation was done to evaluate the reduced environmental pollution. The results of this research showed that by using the methods mentioned above in the primary production line process of the cement company, about 30% of waste and pollutions were reduced. [ABSTRACT FROM AUTHOR]

Green Project Management (GPM) involves a set of management actions to identify and evaluate the impact of activities on the environment and to control and improve performance. Accordingly, the concepts of lean, agility and resilience have a special place as driving forces because they can play an important role in improving the environment. Therefore, the present study is conducted with the aim of identifying and prioritizing GPM activities. They are introduced based on the principles of project management knowledge set and considering the concept of green. Then, by considering the concepts of resilience, agility and purity as research criteria using Fuzzy Analytic Hierarchy Process (FAHP), activities are prioritized. This study has a pairwise comparison questionnaire that data are collected from construction industry experts. The incompatibility rate index is used to determine the reliability of the questionnaire. The results show that the five activities of GPM are identifying a team that can align the project with environmental policies. Development, documentation of the project charter, setting goals in the project charter, quality control, cost, planning, safety of environmental activities, and preparation of GPM programs, respectively, should be given more attention. [ABSTRACT FROM AUTHOR]

Studies on agility in the workplace have focused excessively on technical factors, and little attention has been given to the workforce. Most studies on workforce agility are conceptual and have a notable absence of quantitative modelling and analysis. In the study, a theoretical model of the impact of two organisational characteristics, namely organisational learning and an organic structure (with three dimensions, which are decentralisation of decision-making, low formalisation and a flat structure), on workforce agility was developed and empirically tested. Several small- and medium-sized enterprises in Iran were investigated. The structural equation modelling showed that organisational learning and only the decentralisation of decision-making and a flat structure were positively and significantly correlated with workforce agility. The impact of the dimensions of an organic structure on organisational learning was also considered. Based on the results, we proposed a process model on workforce agility. [ABSTRACT FROM PUBLISHER]

Nowadays, with the increase in business complexity of and competition, organizations are looking to agility of business. In addition, the increasing negative effects of environmental damages on human quality of life have led organizations to pay special attention to environmental issues in addition to agility. The prerequisite for achieving organizational agility with an emphasis on achieving environmental standards is the presence of the green agile workforce that besides enjoying agility characteristics, has environmental concerns. The present study attempts to introduce the green agile workforce? behaviors. [ABSTRACT FROM AUTHOR]

The truck and trailer routing problem with stochastic travel and service time (TTRPSTT) is a development model of the truck and trailer routing problem (TTRP). In this case, travel and service times between customers are considered stochastic. Many researchers considered TTRP with deterministic parameters, but in real-life due to traffic congestion, different weather conditions, level of driver's skills may be influenced by distribution technology, often travel and service times are not really deterministic between two customers and normally follow stochastic distributions. Therefore, TTRPSTT has practical significance. TTRP has been solved by different algorithms but TTRPSTT has not been addressed yet. Here multi-point simulated annealing (M-SA) is applied to solve the TTRPSTT. Forty-eight instance problems have been modified for this case and solved by using this algorithm. The purpose of the paper is to introduce and solve TTRPSTT in a reasonable time by the simulated annealing algorithm. Also, the paper gives some suggestions for further researches. [ABSTRACT FROM AUTHOR]