Forging industry Supply Chain involves various actors and acts as industry Intermediate providing various products for downstream industrial customers. This study aims to analyze supply chain performance and recommend improvement strategy at Forging industry. This study applied supply chain operation reference (SCOR) and Analytical Hierarchy Process (AHP) to analyze supply chain performance. A SWOT analysis assisted to improve supply chain performance. The data was validated at PT ABC and PT XYZ as two focal company in supply chain operations of Forging industry. The results show that the supply chain performance at PT. ABC 99.42% and 99.05% in 2019 and 2020, respectively.  PT. XYZ showed supply chain performance score as 96.60% and 97.52% in 2019 and 2020, respectively. This study has succeeded in formulating efforts to improve the supply chain performance, namely: producing quality goods according to domestic market specifications, maintaining good relations with suppliers or outsourcing, improving services using high technology.

Background: Heat stress as a harmful physical agent in workplace, if is not properly controlled, can cause undesirable effects on the performance and health of personnel. This study aimed to evaluate the heat stress and efficacy of engineering interventions on WBGT index in work station of the workers in a Forging industry.Methods: This experimental study evaluated WBGT index in one of the Forging industries of Tehran in summer 2010. In order to control the radiant temperature, as the most effective factor on WBGT, fireproof flexible fabric was used as shield to reflect and insulate radiant heat. Efficacy of the intervention was evaluated by comparison of WBGT index before and after the intervention, using Statistical paired t-test and SPSS software version 14.Results: Average value of WBGT index in all 12 workstations before the intervention was estimated to be 21.31oC which was higher than the standard limit. This value reached to 45.26oC after intervention. Radiant temperature was identified as the most important factor which should be controlled. Data analysis indicated that difference in radiant heat at the height of head, and ankles was statistically significant before and after intervention (P£0.05). However it was not statistically significant at the height of waistline (P³0.05).Conclusion: Results of the study showed that using flexible fabric shields is a good way to control the radiant temperature and thermal stress. These shields are inexpensive and easily installed, and don’t block front sight of the operator. These shields are easily shaped to fit the workspace and due to the lack of sharp edges they are safety approved. Hence it seems that these heat shields are able to be widely used in order to control the radiant heat in the Forging industry

Purpose: The future of the construction industry is increasingly influenced by new technologies. In order to adopt appropriate strategies in facing new technologies, it is necessary to know the possible futures of the construction industry. This research was done with the aim of explaining the technological uncertainties and compiling the future scenarios of the construction industry.  Method: The research method is applied and was carried out with a combination of quantitative and qualitative methods. First, the library study was used to determine the technological drivers, then the Structural Analysis was used to explain the technological uncertainties, and finally, the Schwartz method was used to compile the scenarios. The statistical population is experts of construction industry. Findings: Nine technological uncertainties affecting the future of the construction industry have been identified and for each of them, three states of decline, stagnation and progress have been considered. Data analysis by Scenario Wizard shows eight probable scenarios. The portfolio of scenarios including four groups of progress scenarios, towards progress, towards stagnation, and towards wane has been compiled. Conclusion: In the progress scenario, the 89% of uncertainties have developed. In  towards progress, 56% of the factors are in the development status, which indicates the development of the technological factor application. In the stagnation scenario, no progress has been made in the application of uncertainties and they are in a static state. In towards wane, uncertainties have been placed in a situation of reduced use.

In spite of the fact that majority of Muslims, relying on religious and rational evidences, have a negative outlook toward hadith falsification and attributing false words and deeds to the Infallible Imams, peace be upon them, however their hadith sources show that they did not regard it seriously.The author of the present paper classifies the hadith forgers into two groups, one group are those who forge hadith with worldly purposes and the second group are those who do this with religious purposes and investigates their evidences.He also explains about some concepts concerning the phenomenon of Forging hadith such as: definition of forged hadith; religious judgment on Forging hadith; evidences of those who are in favor of Forging hadith including good intention, guiding people, and administering justice.

Since the onset of the Enlightenment in the early 18th century, and the subsequent establishment of museums, galleries, and private collections, the acquisition of cultural artifacts to populate these institutions became imperative. However, this period also witnessed the emergence of counterfeit works, crafted in collaboration with specialists across various disciplines. A crucial inquiry arises regarding the identification of the methods and techniques employed by forgers, the recent surge in counterfeit production, and the detrimental impact of such works on archaeological studies and museum activities. This paper aims to provide a comprehensive examination of counterfeit works, tracing their origins in Iran, elucidating the typology of counterfeit objects, detailing the methods of forgery, and analyzing their dissemination to target audiences. Through a combination of library research and field studies, this investigation reveals that counterfeit works exploit historical and cultural significance, often leveraging contemporary scientific knowledge. The lack of precise discernment by target groups regarding these counterfeit works has facilitated their creation and distribution across three primary levels: 1) individuals seeking to amass wealth, 2) domestic enthusiasts of historical and cultural artifacts, and 3) galleries and foreign museums

Given the factuality of the undesirable phenomenon of hadith Forging in Islamic history and its damaging disadvantages for believers' thought and behavior that is a kind of sacrificing peoples' faith for the worldly and non-worldly benefits of some individuals or groups, each of the Islamic sects from the first tried to acquit themselves from that and charge others for it. Unfortunately in this field, the Shi'a had been more accused of hadith Forging by some Islamic sects. In this paper, by referring to authentic sources and examining the existent evidences, it is tried to demonstrate that: are there some starters for hadith Forging? And if there are, who are they?The result is that one cannot easily find specific starters for hadith Forging in Islamic history, although one can distinguish some groups that add fuel it and certainly, despite of some Sunni scholars, the Shi'a are not from amongst.

In the present investigation, an artificial neural network (ANN) model is developed to predict the isothermal hot Forging behavior of AlCuMgPb aluminum alloy. The inputs of the ANN are deformation temperature, frictional factor, ram velocity and displacement whereas the Forging force, barreling parameter and final shape are considered as the output variable. The developed feed-forward back-propagation ANN model is trained with Leven berg– Marquardt learning algorithm. Since the finite element (FE) simulation of the process is a time-consuming procedure, the ANN has been designed and the outputs of the FE simulation of the hot Forging are used for training the network and then, the network is employed for prediction of the behavior of the output parameters during the isothermal Forging process. Experimental data is compared with the FE predictions to verify the model accuracy. The performance of the ANN model is evaluated using a wide variety of standard statistical indices. Results show that the ANN model can efficiently and accurately predict isothermal hot Forging behavior of AlCuMgPb alloy. Finally the extrapolation ability and noise sensitivity of the ANN model are also investigated. It is found that the extrapolation ability is very high in the proximity of the training domain, and the noise tolerance ability very robust.