A fuzzy multi objective inventory model of demand dependent deterioration including lead time

In this article, we have developed a deteriorated multi-item inventory model in a fuzzy environment. Here the demand rate is constant. Production cost and set-up cost are the most vital issue in the inventory system of the market world. Here production cost and set-up- cost are continuous functions of demand. Set-up-cost is also dependent on average inventory level. Deterioration cost is the most challenging issue in the business world. So here deterioration cost is dependent on inventory level and demand. Lead time crashing cost is considered the continuous function of leading time. In the real world all cost are not fixed. Due to uncertainty all cost parameters of the proposed model are taken as Generalized Triangular Fuzzy Number (GTFN). The formulated multi objective inventory problem has been solved by various techniques like as Geometric Programming (GP) technique, Fuzzy Programming Technique with Hyperbolic Membership Function (FPTHMF), Fuzzy Non-Linear Programming (FNLP) technique. Numerical example is taken to illustrate the model. Sensitivity analysis and graphical representation have been shown to test the parameters of the model

Utilisation of forecasting technology for improving construction logistics in Nigeria

The need to investigate new technology for forecasting purposes in construction logistics is due to the fact that the forecasting ability (modern technology utilisation) of the Nigerian construction sector, in terms of logistics management, is relatively low when compared to manufacturing and retailing industries. This is affecting the performance of the construction sector. Moreover, the current logistics technologies used for forecasting operations in the Nigerian construction industry are relatively inefficient and insufficiently investigated to inspire new logistics technologies for the construction industry. Hence, this article investigated how forecasting logistics technologies could be utilised in manufacturing and retailing industries, in order to improve the forecasting processes of construction logistics. Lagos State and Abuja, the Federal Capital Territory of Nigeria, formed the selected geographical scope of the study, from which five manufacturing; five retailing companies, and five construction projects were purposely selected. A mixed methods research strategy were used. The research instruments included an observation guide (quantitative) and semi-structured interviews (qualitative). The collected quantitative data were analysed, using descriptive analytical tools: frequencies and percentiles. The qualitative data was analysed, using the thematic method. The results revealed that all the observed manufacturing industries (100%) adopted the Enterprise Resource Planning (ERP) technology for forecasting purposes in the following areas: material, demand, product, and production forecast. Of the observed companies in the manu-facturing and retailing industries, 80% and 40%, respectively, adopted the Material Requirement Planning (MRP) technology for forecasting purposes. Only 20% (one project) of the observed construction projects adopted the MRP technology for fore-casting in the following: 5% for demand forecast (demand control); 6.7% for material forecast (stock control), and 20% for product forecast (product output). It was also revealed that utilisation of the forecasting technology in construction could have the following benefits: proper resource planning; improved production scheduling; reduction in inventory; effective treatment of scheduling problems, and efficiency of the supply-chain system. Results showed that effective tilisation of forecasting technology in the logistics system of the construction industry could lead to full efficiency gains in forecasting logistics of the construction industry. It is recommended that the Nigerian construction industry should leverage on this, in order to create the best ways of handling the forecasting technology to improve the forecasting logistics systems of the construction process

Efficient near-optimal procedures for some inventory models with backorders-lost sales mixture and controllable lead time, under continuous or periodic review

This paper considers a number of inventory models with backorders-lost sales mixture, stockout costs, and controllable lead time. The lead time is a linear function of the lot size and includes a constant term that is made of several components. These lot-size-independent components are assumed to be controllable. Both single- and double-echelon inventory systems, under periodic or continuous review, are considered. To authors knowledge, these models have never been previously studied in literature. The purpose of this paper is to analyse and optimize these novel inventory models. The optimization is carried out by means of heuristics that work on an ad hoc approximation of the cost functions. This peculiarity permits to exploit closed-form expressions that make the optimization procedure simpler and more readily applicable in practice than standard approaches. Finally, numerical experiments investigate the efficiency of the proposed heuristics and the sensitivity of the developed models

Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain

The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment