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Sustainability management at the production control can make business feasible and profitable, ensuring the safety of the employees, communities and consumers, in addition to the efficient use of resources/raw materials. However, industrial standards do not describe how to deal with sustainability at Productive Systems (PSs) design and their control. Therefore, this paper proposes a framework based on extensions of the ANSI/ISA95 standard for assessment of PSs performance considering sustainability indicators. The framework also considers information processing, storage and access remote for each system component through cyber-physical system and cloud computing technologies. Furthermore, a systematic approach based on Petri Nets (PNs) techniques ensures a formalism to verify and validate the behavior of the Sustainable Productive Systems (SuPSs). Application cases demonstrate and indicate the advantages of the proposed framework to the feasibility, profitability, safety and efficiency of SuPSs.

There is a kind of movement for people to consider sustainability in all their daily activities, not only in the acquisition of goods and services but including the care for health. This induces the emergence of a new business model. Any type of production system (PS) should thus consider sustainability in all its activities and a relationship, which includes not only customers but suppliers, and partners involved from conception, design, manufacturing and provide even service after the use and the disposal of the products. Therefore, an evaluation procedure for PS is proposed to monitor four aspects of sustainability, namely: environmental, social, economical and technological. A framework is considered to deal with the concepts of sustainability and to evaluate performance in industrial PSs considering the indicators to qualify and to quantify their sustainability. It adopts the Petri net technique and extensions of the ANSI/ISA95; Cyber Physical System (CPS) and Smart Grid resources are also considered to treat information processing, storage and access flows by each system component and a Cloud Computing System to connect dispersed PSs. In addition, an evaluation process is systematized to support sustainable PSs by the rational use of production resources and the environment, to guarantee the safety of employees and to maintain the economic profitability of the company, thus, making production processes more efficient.

In a new industrial business model, all aspects of sustainability, i.e. (i) environmental for reduction of negative impacts of using resources, (ii) economic for viability and profitability of business, (iii) social for assuring the safety of employees, communities and consumers, and (iv) technological for efficient and safe use of production resources, need to be effectively incorporated in the productive activities. On the other hand, existing decision-making structures in industries do not explicitly consider how to deal with sustainability indicators when developing a productive system (PS) and its control system. Therefore, this paper discusses the components of a framework and their interactions to apply new concepts to evaluate performance in industrial PSs considering the indicators to qualify and to quantify their sustainability. The framework adopts the Petri net technique and extensions of the ANSI/ISA 95 standard to systemize the evaluation process. This approach assures a formal way to verify and to validate the system sustainability. Besides, the framework considers information processing, storage and access flows between each system component under Cyber Physical System (CPS) and Cloud Computing concepts.

Safety is an important issue that has increasingly been focused on. The reasons are the numerous accidents in process industries which require a hard look at current practices such as process design, process control, risk analysis and control, and risk assessment. Critical faults in process industries could lead to loss of lives, environmental damage and significant financial losses of property and equipment. Accidents typically result from the absence or breach of defenses or breach of security restrictions. The so-called defense-in-depth principle embodies the idea of multiple lines of defense and safety barriers along the accident scene; and this principle avoids ensuring the dependence of safety on a single element. Additionally, for several accidents, the identification of concealed faults and/or non observability of critical faults have been reported, during the evolution of faults following the accident, as relevant factors in the occurrence of catastrophic accidents. Finally, as process industries, are complex systems that interact with the environment, the disturbances caused by the environment must be properly diagnosed and treated by these systems. Based on these issues, this work initially proposes a safety control architecture that integrates the concept of reactivity associated with de principles of defense-in-depth, and safety-diagnosability addressing aspects related to critical faults prevention, mitigation and description of the development of failures. We believe that the safety control architecture is a change in paradigm contributing to risk analysis, risk and hazard control, and risk assessment.

This paper presents a method to design a reconfigurable distributed manufacturing control systems which integrates heterogeneous technologies of facilities that are geographically distributed. Due to the heterogeneity of the environment, the method explores concepts of different techniques and takes the best practices from each one. Mechanisms for reconfiguration are proposed using holonic and multi-agent systems techniques. The service-oriented architecture concept is applied to define the interfaces for communication. A combined top-down and bottom- up approach is described using Petri net models. An application example demonstrates the characteristics and advantages of the proposed method, such as autonomy, reactivity, reuse models, interoperability and reconfiguration flexibility.

Productive systems (PS) should currently consider the efficient use of resources (such as technological transformation, handling and material transport) besides the dispersed distribution of productive plants and sustainability concepts to allow the adequate use of environmental resources and reduce costs through local facilities. However, in the literature there are not widely accepted criteria to evaluate this class of Sustainable and Dispersed Productive Systems (SDPS). Therefore, this work introduces a framework for SDPS performance evaluation by extending the system requirements in the ANSI/ISA-95 standard specifications. Petri net (PN) technique and its extension, Production Flow Schema (PFS), are used to systematize the collection of production data and indexes to evaluating the SDPS performance. Cloud computing technology is also considered to provide resources to access information from SDPS. The presented method allows obtaining and choosing the better indicator for sustainable SDPS.

With the advent of globalization, mitigating supply chain disruptions is the differential for any company. However, mitigating supply chain disruption-related risks in companies is a difficult task. There are some ISO norms that provide standards that can make systems to deal with supply chain disruptions and there are some modeling techniques that ensure that supply chain disruptions be mitigated. Although both approaches do not eliminate supply chain disruptions, they have a fundamental importance for supply chain mitigation. In this context, this paper presents an agent-based with the support of some supply chain and risk norms to mitigate supply chain disruptions. The objective of the proposed method is to identify possible hidden supply chain risks, often highlighting previous hidden or overlooked areas of high risk. An example application for a manufacturing firm demonstrates that this model is feasible and can be replicated to different sectors.