Productive Arrangements Research Articles

Collaborative scheduling of spare parts production and service workers driven by distributed maintenance demand

We analyse the joint scheduling of spare parts production and service workers driven by distributed maintenance demand. For each failure, a service worker and a necessary spare part must be assigned for on-site maintenance. In particular, the spare part is not supplied from stock, but is delivered directly from the factory to the maintenance site through just-in-time production. Spare parts production and worker allocation are integrated to optimize two objectives: customer satisfaction and total service cost. To solve the problem, we first construct a mathematical model. Subsequently, a modified non-dominated neighbor immune algorithm (MNNIA) is proposed, in which a knowledge-based initialization rule, an idle time insertion method, and two problem-specific local search operators are developed to enhance exploitation. Extensive experiments and comparisons are conducted to demonstrate the superiority of MNNIA. Furthermore, compared with that of the separate decision-making mode of spare parts production and worker arrangement, the effectiveness of the integrated scheduling mode is verified.

Kualitas Produk dan Penataan Barang terhadap Minat Pembelian Ulang pada Minimarket

This study aims to determine how the influence of product quality and product arrangement on repurchase intentions at Indomaret Pagar Alam. This research method is quantitative. The sample in this study were 70 respondents who were consumers of Indomaret Pagar Alam. The sampling method used by the researcher is incidental sampling. Data analysis used multiple linear regression analysis technique which was processed using SPSS V.23 application. The results showed, the results of the t test of the product quality variable with t count > from t table, namely 6.195> 0.236. In conclusion, product quality has a positive and significant effect on repurchase intention. The arrangement of goods has a positive and significant effect on repurchase interest.
 Keywords: Product Quality, Repurchase Intention, Goods Arrangement

PENERAPAN MODEL EXPERIENTIAL LEARNING PADA MATA PELAJARAN PENATAAN PRODUK UNTUK MENINGKATKAN PEMAHAMAN SISWA KELAS XII BDP 2 SMKN 02 SELONG

This research aims to implementing experiential learning model in product arrangement subject to improve students’ understanding of class XII BDP 2 SMKN 02 Selong. This research is an action research in classroom. The result of this reaserch showed that implementing experiential learing model on product arrangement subject can improve the students’ understanding. This has been seen from the increase in student evaluation test results where at the pre-action stage 46.88% of students achieve the KKM score with an average value of 74.09 then increased to 77.16 after first cycle of action and again increased to 80.66 after the second cycle of action. In addition, in first cycle 90.63% of students managed to achieve scores above the KKM and in the second cycle 100% of students managed to achieve scores above KKM The conclution of this research is implementation of experiential learning model on product arrangement subject can improve students’ understanding of class XII BDP 2 SMKN 02 Selong

Distributed ARIMA models for ultra-long time series

Providing forecasts for ultra-long time series plays a vital role in various activities, such as investment decisions, industrial production arrangements, and farm management. This paper develops a novel distributed forecasting framework to tackle the challenges of forecasting ultra-long time series using the industry-standard MapReduce framework. The proposed model combination approach retains the local time dependency. It utilizes a straightforward splitting across samples to facilitate distributed forecasting by combining the local estimators of time series models delivered from worker nodes and minimizing a global loss function. Instead of unrealistically assuming the data generating process (DGP) of an ultra-long time series stays invariant, we only make assumptions on the DGP of subseries spanning shorter time periods. We investigate the performance of the proposed approach with AutoRegressive Integrated Moving Average (ARIMA) models using the real data application as well as numerical simulations. Our approach improves forecasting accuracy and computational efficiency in point forecasts and prediction intervals, especially for longer forecast horizons, compared to directly fitting the whole data with ARIMA models. Moreover, we explore some potential factors that may affect the forecasting performance of our approach.

Research on mathematical modeling of order and transshipment optimal distribution

Aiming at the problems of production arrangement and ordering, this paper conducts quantitative analysis, overall analysis and individual analysis on the supply characteristics of 402 suppliers, and constructs a ratio ranking model of 402 suppliers in the past five years, which reflects the important mathematical model to ensure the production of enterprises. And multi-index evaluation model, comprehensive use of Matlab, Excel and other software programming to solve, to determine the 50 most important suppliers. On the basis of mathematical modeling, a control scheme is given, and further analysis is completed, so as to optimize the ordering and transportation of raw materials in the production enterprise.

Mirroring in production? Early evidence from the scale-up of Battery Electric Vehicles (BEVs)

AbstractThe mirroring hypothesis is central to modularity theory, positing isomorphism between technical interdependencies of a product and organizational arrangements. When a product’s design becomes more modular, a full mirroring response would change both its manufacturing and its supply chain. We evaluate this prediction for Battery Electric Vehicles (BEVs), observing whether automakers have mirrored the modular BEV architecture in either internal production processes, external sourcing arrangements, or both. Our data from 19 automakers show that, to date, BEVs are manufactured in their assembly plants alongside conventional internal combustion engine vehicles (ICEVs). New automakers with fully BEV plants utilize essentially the same production process. Furthermore, automakers make—or ally to make—key Electric Vehicle (EV) systems, rather than outsourcing them. We discuss the implications of this partial mirroring for modularity theory and ask whether these arrangements will persist once BEV sales surpass ICEVs.

Bio-agroeconomic returns in beet-cowpea intercropping by optimization of population densities and spatial arrangements

One of the great challenges of the beet and cowpea cultivation in crop association is to maintain their productivity as that of their sole counterparts in semi-arid environment. In this context, the objective of this work is to assess whether there is bio-agroeconomic return in associations of beet-cowpea by the optimization of population densities and spatial arrangements of the component crops. Experiments were performed in randomised complete block designs with treatments arranged in a 4 × 3 factorial scheme, with four replications. The first factor was the population densities of cowpea (100, 80, 60, and 40% of the recommended population in single crop - RPSC) in association with beet, and the second factor was the spatial arrangements (2:2, 3:3, and 4:4), formed by beet (B) rows alternating with cowpea (C) rows. The competition and agronomic indices evaluated were aggressiveness, competitive ratio, land equivalent ratio, actual yield loss, intercropping advantage and the productive efficiency index. The economic indicators evaluated were gross income, net income, rate of return and profit margin. High agro-economic efficiency can be obtained in the cultivation of beet and cowpea intercropping when well-managing the factors of production, population densities and spatial arrangement of the component crops. The greatest agro-economic return of the cowpea and beet intercropping was obtained in the population densities of 40 and 100% of RPSC for cowpea and beet, respectively. The 2:2 spatial arrangement between beet and cowpea crops was the one with the best productive performance and higher indicators of economic return. The cowpea was the dominant crop while the beet was dominated.

Relaciones de poder y jerarquía en un ordenamiento productivo local de una ciudad brasileña

This research aims to identify how power and hierarchy relations emerge in a production system that influence the authenticity dimensions of a local productive arrangement. The research is exploratory and had data collected from interviews with local managers from organizations of local size and influence. The data collected from the interviews allowed qualifying the studied productive system, as well as advancing on Storper and Harrison’s (1991) proposals, taking as original the study of a local productive arrangement (LPA) of a medium and peripheral city in Brazil. It is concluded that the qualitative aspects favorable to the LPA have the “core-ring structure with coordinating signature” as a very present characteristic that influences the authenticity dimensions of the arrangement. Given this perspective, it is also highlighted that the territorial dimension and rootedness are well defined, as the region is perceived as the best option for the purchase and installation of automotive businesses. Tacit knowledge, innovation, and governance are underdeveloped. As a central result, one can point to a possible stronger variable to what Lastres and Cassiolato (2004) call the authenticity of local productive arrangements, that is, the relations of power and hierarchy existing in the production system can constitute a variable that interferes in the other dimensions and confers the authenticity of a local productive arrangement.

Bernard Maris and Institutional Economics: An Interlocution on Regional Transformation

An admirer of John Maynard Keynes and an advocate of a historically grounded economic theory, the French economist, Bernard Maris, investigated the possible emergence of alternative monetary, productive, and distributive institutional arrangements for a more just society. Based on a dialogue between institutional economics and Bernard Maris, the present paper aims at proposing general guidelines for the construction of a plan for subnational development towards a more equitable and inclusive society on the regional, individual, and geo-economic levels. With a special focus on the region of Occitanie—Maris’s native region, located in the Southwest of France—the study borrows Karl Polanyi’s lens, in his The Great Transformation, to envision a possible reduction of dependency in each one of those three levels through the process of decommodification of money, labor, and land, respectively. Because of its ability to take into consideration specificities (being them departmental, territorial, and/or social), institutional economic theory seems adequate to support subnational development, especially in a region with great diversity and a high level of socio-economic and geographic disparity like Occitanie.

Arrangement of Agricultural Land Production Sharing Agreements in the Development of Environmentally Friendly Agrotourism

One model of tourism development that is in line with alternative tourism is community-based tourism as a pattern that is believed to provide economic benefits and equity, environmental preservation, local culture preservation, social empowerment, community empowerment. Community-based tourism is a tourism development with a high level of local community involvement and can be accounted for from the socio-cultural and environmental aspects. So far, there are no clear rules that explicitly regulate the arrangement of profit sharing, especially in the field of agro-tourism. According to Article 1320 of the KUHPerdata, an agreement is valid if it meets the following four conditions: Agree of those who bind themselves, The ability to make an engagement, a certain thing, a lawful cause—referring to the Legal Principles of Agreement as contained in the KUHPerdata (KUHPerdata), namely Personality Principles (Article 1315 jo 1340 KUHPerdata), Consensualotas Principles (Article 1320 KUHPerdata), Freedom of Contract Principles (Article 1338 paragraph (1) KUHPerdata). In the current reformation era, the legal development strategy is directed towards responsive law characterized by the large role of judicial institutions and the broad participation of social groups or the participation of individuals in society to determine the direction of legal development, resulting in the formation of clear legislation. Furthermore, provide legal certainty in making agreements for agricultural land products related to agro-tourism with environmental insight.

Arrangement of Agricultural Land Production Sharing Agreements in the Development of Environmentally Friendly Agrotourism

One model of tourism development that is in line with alternative tourism is community-based tourism as a pattern that is believed to provide economic benefits and equity, environmental preservation, local culture preservation, social empowerment, community empowerment. Community-based tourism is a tourism development with a high level of local community involvement and can be accounted for from the socio-cultural and environmental aspects. So far, there are no clear rules that explicitly regulate the arrangement of profit sharing, especially in the field of agro-tourism. According to Article 1320 of the KUHPerdata, an agreement is valid if it meets the following four conditions: Agree of those who bind themselves, The ability to make an engagement, a certain thing, a lawful cause—referring to the Legal Principles of Agreement as contained in the KUHPerdata (KUHPerdata), namely Personality Principles (Article 1315 jo 1340 KUHPerdata), Consensualotas Principles (Article 1320 KUHPerdata), Freedom of Contract Principles (Article 1338 paragraph (1) KUHPerdata). In the current reformation era, the legal development strategy is directed towards responsive law characterized by the large role of judicial institutions and the broad participation of social groups or the participation of individuals in society to determine the direction of legal development, resulting in the formation of clear legislation. Furthermore, provide legal certainty in making agreements for agricultural land products related to agro-tourism with environmental insight.

Regional analysis of aquaculture value chain: Study of tilapia production zones in Brazil

This study provides a broad discussion on the tilapia culture chain in Brazil. It aims to analyse the business environments of tilapia culture zones in Brazil, supported by the Global Value Chain (GVC) approach. For this purpose, this study used a wide range of multidimensional indicators collected from tilapia production units (TPUs) and distributed in four selected and categorised production zones (TPZs). Based on fuzzy modelling, this analysis was carried out by comparing multidimensional indexes of business environments estimated by a fuzzy inference system. The research concluded that more verticalized governance models are more promising for the development and internationalisation of the chain in Brazil. It also concluded that in productive arrangements where these forms are not fully dominant, the regional role of competent suppliers, associated with active technical assistance, could play a key role for technological development at the TPU level. However, it points out that the coordination of fish farmers in the value chain should take into account regional aspects, and alternative forms of verticalization. Additionally, it was highlighted that the synergy of this chain with other more internationalised agri-food segments, such as poultry and pork, can be a key element in overcoming future obstacles arising from a global integration process. Moreover, the main configurations and barriers faced by each productive zone in the current scenario and the challenges related to an eventual institutional upgrading necessary to meet international marketing standards are also highlighted. Finally, the study proposes a research agenda that expands the range of quantitative and micro studies in the field of GVC, seeking to better understand, from multiple perspectives and scopes, the possible effects and results associated with the internationalisation of the aquaculture chains of the Global South.

Fashion Conscious Consumption and Consumer Perception: A Study in the Local Productive Arrangement of Clothing of Pernambuco

Fashion Conscious Consumption and Consumer Perception: A Study in the Local Productive Arrangement of Clothing of Pernambuco

Theory of planned behavior, ethics and intention of conscious consumption in Slow Fashion Consumption

PurposeThis study seeks to investigate the influence of the theory of planned behavior (TPB), of the conscious consumption intention and of the consumer ethical considerations, on Slow Fashion Consumption in the region known as Agreste Pernambucano, in Brazil, which is known for being an apparel manufacturing area.Design/methodology/approachTo achieve this purpose, descriptive quantitative research using non-probabilistic sampling was conducted. Data were collected through an online survey and distributed through the snowball technique. The sample consists of 486 respondents and relies on structural equation modeling for data analysis.FindingsThe results highlight that the Slow Fashion Consumption, in the scope of Local Productive Arrangement (LPA) of clothing manufacturing in the Agreste region, is influenced by the intention of conscious consumption, the ethical considerations in consumer behavior and the perceived behavioral control. Moreover, the results highlight the role of the influence of subjective norms both in the attitudes of consumers and the intention of conscious consumption.Originality/valueThe primary contribution of this study is to demonstrate that perceived behavioral control is positively associated with Slow Fashion Consumption, which, in turn, shows that respondents believe they have control over their sustainable actions.

PERBAIKAN TATA LETAK PASAR INDUK TRADISIONAL DI SANGATTA DENGAN METODE MARKET BASKET ANALYSIS (MBA)

ABSTRACTThe customer is one of the goals of the market. One of the factors that influence consumer satisfaction is the arrangement of products/products. An attractive display becomes the face of the market itself. The Traditional Main Market in Sangatta is a market that is satisfied with consumers. So far, the product arrangement of the Traditional Main Market in Sangatta has only been based on the intuition of the market management, while the wide market area causes consumers to feel tired when shopping.The Market Basket Analysis method aims to determine what products are usually purchased by consumers at the same time. In addition, the application of this method can provide convenience for consumers in shopping, because goods that are usually purchased simultaneously are nearby. In addition, it can improve efficiency in conducting promotions. Products purchased should not be produced simultaneously, promoting one product can increase sales of other products that are usually purchased simultaneouslyThis study uses the Market Basket Analysis (MBA) method. Product information that dominates sales can be used as a reference to determine consumer habits in making purchases. The habit in question is any product that consumers buy at the same time. The use of Market Basket Analysis (MBA) is expected to cause impulse buying/purchases that were not planned. In addition to using Market Basket Analysis (MBA), Activity Relationship Chart (ARC) is also used as a tool to get layout results that are by consumer habits in shopping and with government regulations. Keywords : Product layout, Market basket analysis, Activity relationship chart.

Comparative Research Directions of Population Initialization Techniques using PSO Algorithm

In existing meta-heuristic algorithms, population initialization forms a huge part towards problem optimization. These calculations can impact variety and combination to locate a productive ideal arrangement. Especially, for perceiving the significance of variety and intermingling, different specialists have attempted to improve the presentation of meta-heuristic algorithms. Particle Swarm Optimization (PSO) algorithm is a populace-based, shrewd stochastic inquiry strategy that is motivated by the inherent honey bee swarm food search mechanism. Population initialization is an indispensable factor in the PSO algorithm. To improve the variety and combination factors, rather than applying the irregular circulation for the introduction of the populace, semi-arbitrary successions are more helpful. This examination presents a thorough overview of the different PSO initialization approaches which are dependent on semi-arbitrary successions systems. In this precise review, the best in class in the populace instatement is uncovered. The procedures are classified by utilizing a theoretical model that parts the cycle of populace introduction into two phases: that is, right now expressly or certainly utilized for reinstatement in every single present approach. The deliberate investigation unveils the potential examination zones of populace introduction and, furthermore, research holes, despite the fact that the fundamental center is to give the headings to future upgrade and advancement around there. This paper gives a deliberate study identified with this calculated model for the cutting edge of exploration, which is talked about in the predefined writing to date. The study is envisioned to be useful in examining the PSO algorithm in detail for the specialist. Likewise, the paper finds the proficiency of numerous quasi-random sequences (QRS) based on initialization approaches by looking at their exhibition analyzed for sixteen notable benchmark test problems.

Using Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Problems

The flexibilization and increase of new production concepts such as matrix manufacturing with the help of autonomous logistics robots (AGVs) pose new challenges to production scheduling. To solve these flexible job shop scheduling problems (FJSSP) for arbitrary production arrangements, a concept for a multi-agent system based on Deep Reinforcement Learning (MARL) is proposed. The focus is on speed and quality of scheduling, easy creation of new manufacturing setups and extensibility to other scheduling problems such as logistics. An algorithm to solve these problems is given and evaluated on an exemplary job shop. Future research questions and extensions are then discussed.

Interorganisational learning in a network of local productive arrangement type

Interorganisational learning in a network of local productive arrangement type

Interorganisational learning in a network of local productive arrangement type

Interorganisational learning in a network of local productive arrangement type

LabVIEW Based Inventory Management System

The aim of this paper represents the “LABVIEW BASED INVENTORY MANAGEMENT SYSTEM” creates a web-based producing system that permits manufacturing business to schedule its manufacturing operations supported the daily update of sales from its dealers. Once the sales figure of things for the past weeks are entered by the dealers over the net alongside the orders for future delivery, the schedule for future week’s production is immersed. A report of the specified raw materials or components are immersed with the merchandise necessities over the net & asked to quote their rates. Once the rates are quoted, the order is placed with the specified delivery schedules. Once the components are equipped the stocks are updated. Then a production arrangement is immersed considering the bill of materials. Once the assembly arrangement is approved, the stock is updated once the fabric is issued. Once the finished merchandise are on the market the delivery schedules are immersed supported the orders placed by the Dealers. The stocks with the dealers also will be maintained.