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The objective of this chapter is to illustrate how globalization affects labor mobility and work. The impact of globalization ranges from a profound restructuring of productive agriculture and rural labor markets to the forms through which production and labor are controlled – including the internal and external systems of food quality and safety standardization. These aspects require a broad readaptation and modernization of food distribution models and the standardization of technical principles. In the sector of local food distribution, these changes have significantly affected the lives of those involved, especially in terms of increased competitiveness and the escalation of the demands associated with the enhancement of the quality of products. Moreover, accelerated technological innovations, such as information technology, have facilitated the compression of time and space and shaped forms of social resistance. In this scenario, the reduction of logistic costs in the production and distribution of commodities has become one of the fundamental conditions for the viability of large companies. This is more the case for industries that deal with highly perishable produce such as fresh food. Through an analysis of the perspectives of workers in the refrigerated cargo industry, the chapter illustrates the pressure that fall upon the individual routine of those involved in this field and the ensuing changes in this sector's operating standards. The study was conducted in the city of Recife, in the northeastern portion of Brazil.

The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.

Currently heating and cooling in buildings is responsible for over 30% of the primary energy consumption in the United Kingdom with a similar amount in China. We analyze heat pumps and district thermal energy network for efficient buildings. Their advantages are examined (i.e., flexibility in choosing heat sources, reduction of fuel consumption and increased environmental quality, enhanced community energy management, reduced costs for end users) together with their drawbacks, when they are intended as means for efficient building heating and cooling.

A literature review observed a range of operating conditions and challenges associated with the efficient operation of district heating and cooling networks, comparing primarily the UK’s and China’s experiences, but also acknowledging the areas of expertise of European, the United States, and Japan. It was noted that the efficiency of cooling networks is still in its infancy but heating networks could benefit from lower distribution temperatures to reduce thermal losses. Such temperatures are suitable for space heating methods provided by, for example, underfloor heating, enhanced area hydronic radiators, or fan-assisted hydronic radiators. However, to use existing higher temperature hydronic radiator systems (typically at a temperatures of >70°C) a modified heat pump was proposed, tested, and evaluated in an administrative building. The results appears to be very successful.

District heating is a proven energy-efficient mechanism for delivering space heating. They can also be adaptable for space cooling applications with either parallel heating and cooling circuits or in regions of well-defined seasons, on flow and return circuit with a defined change-over period from heating to cooling. Renewable energy sources can provide either heating or cooling through, for example, biomass boilers, photovoltaics, solar thermal, etc. However, for lower loss district heating systems, lower distribution temperatures are required. Advanced heat pumps can efficiently bridge the gap between lower temperature distribution systems and buildings with higher temperature hydronic heating systems

This chapter presents a case for district heating (and cooling). It demonstrates the benefits of reduced temperatures in district heating networks to reduce losses but also illustrates the need for temperature upgrading where building heating systems require higher temperatures. Thus, a novel heat pump was developed and successfully tested.

Disassembly takes place in remanufacturing, recycling, and disposal, with a line being the best choice for automation. The disassembly line balancing problem seeks a sequence that is feasible, minimizes the number of workstations, and ensures similar idle times, as well as other end-of-life specific concerns. Finding the optimal balance is computationally intensive due to exponential growth. Combinatorial optimization methods hold promise for providing solutions to the problem, which is proven here to be NP-hard. Stochastic (genetic algorithm) and deterministic (greedy/hill-climbing hybrid heuristic) methods are presented and compared. Numerical results are obtained using a recent electronic product case study.

The purpose of this chapter is to solve multi-objective formulation for traveling salesman and transportation problems. Computations are based on real data for the road freight transportation of a Spanish company. The company was selected because of its importance in Spanish economy and market. This company is important in the whole country; however, it has its higher importance in the northern part of Spain. The requirements for these models are the minimization of total distance and the CO₂ emissions. To achieve this, it is required to know and carry out the minimization of the total distance traveled by the trucks during the deliveries. The deliveries are going to be executed between the different locations, nodes, in the region, and Elorrio, where the depot is situated. The data have been used to decide the best route in order to obtain a minimization of cost for the company. As it was mentioned earlier, the problems are focused on the reduction of the amount of CO₂ emissions and minimization of total distance; by studying different parameters, the best solutions of route transportation have been obtained. The software used to solve these models is CPLEX solver with AMPL programming language.

Disturbing increase in the use of virgin resources to produce new products has threatened the environment. Many countries have reacted to this situation through regulations which aim to eliminate negative impact of products on the environment shaping the concept of environmentally conscious manufacturing and product recovery (ECMPRO). The first crucial and the most time-consuming step of product recovery is disassembly. The best productivity rate is achieved via a disassembly line in an automated disassembly process. In this chapter, we consider a sequence-dependent disassembly line balancing problem (SDDLBP) with multiple objectives that is concerned with the assignment of disassembly tasks to a set of ordered disassembly workstations while satisfying the disassembly precedence constraints and optimizing the effectiveness of several measures considering sequence-dependent time increments among disassembly tasks. Due to the high complexity of the SDDLBP, there is currently no known way to optimally solve even moderately sized instances of the problem. Therefore, an efficient methodology based on the simulated annealing (SA) is proposed to solve the SDDLBP. Case scenarios are considered and comparisons with ant colony optimization (ACO), particle swarm optimization (PSO), river formation dynamics (RFD), and tabu search (TS) approaches are provided to demonstrate the superior functionality of the proposed algorithm.

This chapter provides basic knowledge on the principles used in modern signalling systems to ensure safe train separation and to establish safe routes through point zones. For train control, lineside signals are compared with cab signalling. For block protection, fixed block and moving block systems are covered. The described interlocking principles for routes leading through point zones include route locking and release, conflicting routes, flank protection, and overlaps. A section on automatic train protection explains the principles of how trains can be prevented from violating speed and authority limits. For this, an overview on the levels of the European Train Control System is provided. Some information is also given on train describers and automatic route setting systems to support traffic management in signalling centres.

Purpose – To review the significance of Hayek's argument, in The Sensory Order, from a connectionist theory of mental architecture to descriptive and normative individualism.

Methodology/approach – The chapter reconstructs Hayek's argument, then replaces Hayek's premises about mental architecture with premises derived from the recent neuroscience of reward and consumption, and then explains why the argument no longer goes through.

Findings – Hayek's abstract mental architecture was closer to adequacy than most subsequent competing alternatives produced by philosophers. His argument from this architecture to individualism is valid. However, we must now supplement the abstract architecture with complexities drawn from recent neuroscience. These show the argument to be unsound. However, if commitment to descriptive individualism is abandoned, then a new argument from psychological premises to normative individualism is available.

Social implications – There is a good argument from psychological premises to normative individualism; but normative individualists should not try to defend their position by resting it on the supposed truth of descriptive individualism.

Originality/value – All the main arguments of the chapter are new to the literature.

Environment Management, Solid Waste Management.

This case is suitable to be used in advanced undergraduate and MBA/MSc level.

This case revolves around the challenges pertaining to waste management in Iran. Poor waste management practices can result in soil contamination, water pollution, and air pollution, can cause respiratory problem, and can create permanent adverse health effect. Thus, a solid waste management system is needed for safeguarding the public health, safety, and welfare. However, it seems not an easy task for the developing countries, and Iran is not an exception to this. Recycling has three particular steps: collection and processing, manufacturing, and purchasing new products which made from recycled materials which require heavy investment. Lack of investment in the Iranian recycling sector has made this issue more complicated and lagging behind. This case highlights the challenges faced by the Iranian Municipality in this regard.

The learning objectives are as follows:

• to expose students to an actual situation where they will be aware of the necessity to care for the environment and reduce and reuse the products that they are utilizing in their every days’ life;

• to highlight the need of a municipal waste management system to make route optimization for waste collection and transport system, storage, recycling plan, compost and incineration facility, proper site for landfill, etc.; and

• to emphasize the required support from all stake holders in managing waste.

to expose students to an actual situation where they will be aware of the necessity to care for the environment and reduce and reuse the products that they are utilizing in their every days’ life;

to highlight the need of a municipal waste management system to make route optimization for waste collection and transport system, storage, recycling plan, compost and incineration facility, proper site for landfill, etc.; and

to emphasize the required support from all stake holders in managing waste.