A decision support framework for sustainable production planning of paper recycling systems

Textile MSMEs are characterized by their high influence on the economy of the countries, both for their contribution to the gross domestic product as well as for the generation of employment, in recent years the complexity of their operations, instability and lack of balance between economic, environmental and social factors, axes of sustainable development, stand out. It is necessary to implement approaches such as sustainable manufacturing and production planning, which seeks the creation of products with minimal environmental impact, safe for workers, and economically robust. In this context, this study aims to develop a multi-objective optimization model that enhances sustainable production planning in textile MSMEs. The methodology is based on two phases, the first one focused on the acquisition of information and the second one dedicated to the mathematical formulation of the model, where three objective functions focused on economic, environmental and social factors are proposed. The model is validated with real data from a textile MSME in Ecuador and different production alternatives are generated by proposing the implementation and use of photovoltaic energy as well as a greater use of personal protective equipment. One of the relevant conclusions of the study is the contribution to the textile industry with a sustainable decision support tool, where different scenarios for production planning and their respective economic, environmental and social consequences are shown.

Decision support systems for sustainable manufacturing surrounding the product and production life cycle – A literature review

<table width="586" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="380"><p>This study develops a Sustainable Aggregate Production Planning (SAPP) model based on Fuzzy Goal Programming (FGP) that integrates economic, environmental, and social objectives under uncertainty. Conventional aggregate production planning primarily focuses on cost minimization, often resulting in excessive overtime, high emissions, and workforce instability. To address these limitations, the proposed model simultaneously considers total cost, carbon emissions, energy consumption, waste generation, workforce stability, and worker satisfaction within a unified fuzzy optimization framework. From a mathematical perspective, the main contribution of this study lies in the explicit formulation of a max–min FGP structure using aspiration-based linear membership functions for all sustainability objectives, enabling a balanced compromise solution without relying on deviation-variable-based goal programming commonly adopted in existing SAPP models. The resulting formulation is a linear mixed-integer optimization model that preserves tractability while accommodating conflicting sustainability goals. Numerical experiments are conducted using illustrative demand and operational data adapted from a reference study, solely for mathematical calibration and validation of the proposed model rather than empirical inference. The results indicate a global satisfaction level of λ = 0.67, representing a balanced max–min compromise among economic, environmental, and social objectives. Compared to the baseline scenario, the optimized plan achieves notable improvements in cost efficiency and waste reduction while keeping emissions, energy consumption, and workforce-related indicators within predefined fuzzy tolerance limits. Overall, the proposed SAPP–FGP model provides a transparent and flexible decision-support framework for sustainability-oriented production planning, offering clear insights into trade-offs among competing objectives and contributing to the applied mathematical literature on multi-objective production planning under uncertainty.</p></td></tr></tbody></table>

When, where and what cultivate: An optimization model for rural property planning

Knowledge framework for production planning and controlling considering sustainability aspects in smart factories

The need for sustainable development has been widely recognized by governments and enterprises and has become a hot topic of various disciplines including ergonomics and industrial engineering. Initiatives in this domain will be more successful if they follow an integrated approach. For instance, the conventional production planning and controlling (a methodology used in industrial engineering) considers resources, such as material, labor and production capacity at its respective costs, but often neglects the role of ergonomic factors. The goal of this paper is to provide an overview of ergonomic factors which influence sustainable production planning and controlling in manufacturing enterprises. These influencing factors are discussed based on a root cause analysis. A root cause diagram is shown illustrating the relationships between sustainable production planning and controlling and ergonomic factors.

Sustainable Evaluation of Production Programs Using a Fuzzy Inference Model – A Concept

ABSTRACTProduction facilities serve to transform raw materials into products, usually with the goal of achieving a designated output, in terms of quantity and quality, with the minimum of cost and labour. With the aid of production planning and controlling (PPC) systems, raw material inputs, and labour can be planned to achieve a determined output of products. In general, the role of environmental and social aspects is neglected in production planning processes. Because of the growing pressure from politics and customers, sustainable production of products is becoming more important. One possibility for supporting sustainable manufacturing is, to integrate sustainable aspects in the production planning process. This paper presents input and output information for current PPC systems and discusses the need for additional information necessary for sustainable PPC. For this approach, a text review of cooperate social responsibility (CSR) reporting indicators provided by the GRI was performed. Based on the text review, an input-output model has been developed for conventional and another one for sustainable PPC systems. Through the comparison of the two input-output models, challenges and requirements for sustainable PPC systems have been defined as a basis for future work and analyses.

Today achieving goals of a company and successful solution of tasks is possible only with proper management system of operational production planning, application of a systematic approach, and with modern achievements of science and technology. Therefore, one of the main tasks of the enterprise is to find effective tools for the development of the system of operational and production planning. The subject of research are organizational-economic relations arising in the process of production activity of the enterprise. The role of the operational and production planning system at the industrial enterprise in the formation of an effective planning strategy was defined as theoretical aspects in current work. The essence, objectives, and tasks of operational and production planning at the enterprise are defined. Methods and stages of operational and production planning at the enterprise are systematized. In the study the analysis of the current state and development of the system of operational and production planning at the enterprise LLC “Promelectro”, which showed the need to develop the system operational and production planning to improve the efficiency of production activities at the enterprise, as well as the entire system. For the exclusion of the identified problems, operational production planning was developed for Promelectro LLC.

A multi-product fish production planning produces simultaneously multi fish products from several classes of raw resources. The goal in sustainable production planning is to meet customer demand over a fixed time horizon divided into planning periods by optimizing the tradeoff between economic objectives such as production cost, waste processed cost, and customer satisfaction level. The major decisions are production and inventory levels for each product and the number of workforce in each planning period. In this paper we consider the management of small scale traditional business at North Sumatera Province which performs processing fish into several local seafood products. The inherent uncertainty of data (e.g. demand, fish availability), together with the sequential evolution of data over time leads the sustainable production planning problem to a nonlinear mixed-integer stochastic programming model. We use scenario generation based approach and feasible neighborhood search for solving the model.

Production planning and control (PPC), responsible for all the activities that keep production running regularly, plays an essential role in the transition to more sustainable manufacturing systems. PPC decision-making processes need to be driven by sustainable principles even if this makes them more effortful and complex from the strategic to operative level. This study aims to review the scientific literature relating to sustainable PPC. A bibliometric analysis of 437 papers published on the Scopus database was performed to identify the most relevant articles, authors, and journals and to provide the current topic trends and future research themes and gaps. The findings revealed the increasing interest in this topic mainly since 2018. China and the USA are the most productive countries, whereas the Journal of Cleaner Production and Sustainability are the most productive journals. The analysis has also highlighted the ways to address sustainability issues in PPC, e.g., by integrating in scheduling models objectives related to sustainability or by removing barriers to reverse logistics and circular economy at the PPC level. The following topics, instead, deserve further research: attention to the social issues in PPC and the development of decision support systems that will improve companies’ PPC decision-making capabilities in sustainable optics.

Sustainable Production Planning and Control - Process Simulation in the Production Control System for a Holistic Order Processing

Description: A major upstream company of India implemented ERP (Enterprise Resource Planning) in its entire business portfolio, applying various ERP modules. One of the modules was PP-PI (Production Planning- Process Industries), primarily aimed for processing plants. This module was customized to capture production from CTF (Central Tank Farm). In this process, GGSs (Group Gathering Stations) and the oil Fields were configured as ‘storage locations’. In next step, ‘Z-Table (Customized Tables developed on the adopted ERP platform)’ developments were done to capture Well test data, Well flow-hour data and Well no-flow hour data of each well. Critical testing parameters like ‘Variable Separator Pressure’ and ‘Shrinkage Factors’ were also addressed in the program algorithm. Application: The development was applied at various onshore and offshore installations of the company at two different stages with slight variations in the design (final allocation program was different for onshore and Offshore, because of some differences in data capturing). Few parameters, like Sand data, Field data were introduced at later stages for some more specific analysis. Observations and Result: For the expected results, interlinking of MM and PS (ERP logistics modules for Material Management and Project System) had to be done. After rigorous testing and calibrations, the design was implemented at onshore and offshore locations of the company. The data, normally uploaded at the installation level, could be accessed for various analysis at any level. Regional as well as Corporate Planning departments are using the data for analyzing various field problems, variations in production performance, status of flowing and non-flowing wells, the reasons of no-flow etc. enabling better and efficient decision making. This application of IT in oil and gas production fields coupled with SCADA (could be an interesting development for real time monitoring of oil-field. Significance of the Subject matter: This is an innovative application of ERP, a business application tool, for the techno-commercial analysis of wells and oilfields.

Nowadays, the power production and transmission are substantial elements for the society, and will probably play a more important role in the future, but are also associated with various negative effects, which impose additional costs, the so called external costs. As long as these are not included in the electricity prices, market failures most often arise. In order to define expansion projects, right price signals are needed. Thus, the internalization of external costs in power production, which typically leads to higher marginal production costs for conventional power plants, can help in the identification of sustainable future transmission and production plans. The aggregated benefit of the internalization of external costs is usually higher than the social welfare deficit, depending on the energy mix, and can be further used in order to reinforce the existing electricity network, financing ldquogreenrdquo investments. The idea in this paper is the coordination of generation, transmission and policy planning, and their interaction, towards a common electricity market. The proposed methodology is based on a cost benefit analysis in order to support the final decision taken. Several scenarios, considering demand changes, power plants installations and investments in transmission are implemented by means of a European ldquocopperplaterdquo model.

A New Model for Sustainable Changeability and Production Planning