Search

The object of research is a distributed order processing system for a restaurant chain. The subject of the research is the analysis of the use of Redis for managing event queues in distributed systems. When implementing a distributed order processing system in a restaurant chain with a possible load of up to 20,000 users per day, the Redis system was used. Management of 9 distributed subsystems was organized through Redis. This solution showed an increase in the performance of the system under heavy load (from 50 transactions per second), but the response time of the system in some cases of its operation was longer than without using Redis. When working systems using Redis, it is necessary to take into account the amount of data with which Redis will work, since it does not exceed the amount of RAM, the absence of differentiation into users and groups, and the absence of a query language, which is replaced by a key-value scheme. This research is aimed at analyzing the operation of the system during trial operation under real load. We compared the operation of a configured system with Redis enabled and disabled. The main indicators for the analysis were the system response time and the maximum request execution time. The research was carried out for 2 weeks, the first week using the system settings with disabled Redis, the second – with enabled Redis. We selected 2 days with a similar load on the system to each other. Especially indicative are the results of comparing the durations of the longest queries, which show an almost constant value of the duration for the system in the mode of enabled Redis. The hypothesis of an increase in the system response time at low loads was confirmed, but this value not only leveled off at a load of 500 unique users but also became less at loads of 1000 unique users. [ABSTRACT FROM AUTHOR]

The object of research is a distributed order processing system for a restaurant chain. The subject of the research is the analysis of the use of Redis for managing event queues in distributed systems. When implementing a distributed order processing system in a restaurant chain with a possible load of up to 20,000 users per day, the Redis system was used. Management of 9 distributed subsystems was organized through Redis. This solution showed an increase in the performance of the system under heavy load (from 50 transactions per second), but the response time of the system in some cases of its operation was longer than without using Redis. When working systems using Redis, it is necessary to take into account the amount of data with which Redis will work, since it does not exceed the amount of RAM, the absence of differentiation into users and groups, and the absence of a query language, which is replaced by a key-value scheme. This research is aimed at analyzing the operation of the system during trial operation under real load. We com)pared the operation of a configured system with Redis enabled and disabled. The main indicators for the analysis were the system response time and the maximum request execution time. The research was carried out for 2 weeks, the first week using the system settings with disabled Redis, the second – with enabled Redis. We selected 2 days with a similar load on the system to each other. Especially indicative are the results of comparing the durations of the longest queries, which show an almost constant value of the duration for the system in the mode of enabled Redis. The hypothesis of an increase in the system response time at low loads was confirmed, but this value not only leveled off at a load of 500 unique users but also became less at loads of 1000 unique users. [ABSTRACT FROM AUTHOR]

It is apparent that the logistics process can reduce cost in order to have an efficient profit, efficient suitable and efficient economical way to run a sustainable business. This research aimed to study the effect of characteristics of small and medium-sized enterprises (SME) on the reduction of operating costs to get the most benefit and most suitable and the most economical way to run a sustainable business. A case study of logistics of small and medium-sized enterprise entrepreneurs in Pathum Thani Province by using questionnaires to collect 400 sets of data. The results of the study showed that the purchase order and the information system affected the reduction of operating costs. Participants responded the different registered capital of small and medium-sized enterprises (SME) have differences in managing cost systems, and the business uses information systems in the flow of information through electronic processes that are ordered by customers systematically with statistical significance at the level of 0.05. [ABSTRACT FROM AUTHOR]

Mathematical anxiety (MA) and mathematics performance typically correlate negatively in studies of adolescents and adults, but not always amongst young children, with some theorists questioning the relevance of MA to mathematics performance in this age group. Evidence is also limited in relation to the developmental origins of MA and whether MA in young children can be linked to their earlier mathematics performance. To address these questions, the current study investigated whether basic and formal mathematics skills around 4 and 5 years of age were predictive of MA around the age of 7–8. Additionally, we also examined the cross-sectional relationships between MA and mathematics performance in 7–8-year-old children. Specifically, children in our study were assessed in their first (T1; aged 4–5), second (T2; aged 5–6), and fourth years of school (T3; aged 7–8). At T1 and T2, children completed measures of basic numerical skills, IQ, and working memory, as well as curriculum-based mathematics tests. At T3, children completed two self-reported MA questionnaires, together with a curriculum-based mathematics test. The results showed that MA could be reliably measured in a sample of 7–8-year-olds and demonstrated the typical negative correlation between MA and mathematical performance (although the strength of this relationship was dependent on the specific content domain). Importantly, although early formal mathematical skills were unrelated to later MA, there was evidence of a longitudinal relationship between basic early symbolic number skills and later MA, supporting the idea that poorer basic numerical skills relate to the development of MA. [ABSTRACT FROM AUTHOR]

Processing the ordered relationships between sequential items is a key element in many cognitive abilities that are important for survival. Specifically, order may play a crucial role in numerical processing. Here, we assessed the existence of a cognitive system designed to implicitly evaluate numerical order, by combining continuous flash suppression with a priming method in a numerical enumeration task. In two experiments and diverse statistical analysis, targets that required numerical enumeration were preceded by an invisibly ordered or non-ordered numerical prime sequence. The results of both experiments showed that enumeration for targets that appeared after an ordered prime was significantly faster, while the ratio of the prime sequences produced no significant effect. The findings suggest that numerical order is processed implicitly and affects a basic cognitive ability: enumeration of quantities. [ABSTRACT FROM AUTHOR]

The impact of the covid pandemic and the chip crisis on industrial production are just a few examples that emphasize the complex and volatile environment production systems must cope with. Especially operational scheduling tasks intensely suffer from these influences due to increased complexity in decision-making as well as frequent rescheduling activities. At the same time, they highly affect production-related key performance indicators such as lead time or resource utilization. As several publications have already shown, applying innovative and data-based methods from the field of Reinforcement Learning (RL) to complex scheduling tasks provides great potential to handle the challenges arising from a complex and volatile environment. The building blocks of an RL approach strongly depend on a company's individual task specifications and optimization goals. Yet, a methodology that considers these specifications for the design of RL approaches in production scheduling has not been introduced, preventing the transfer from laboratory examples to wide-ranging industry applications. To address this research gap, this paper aims to provide a conceptual methodology to generate RL solutions depending on the scheduling tasks and objectives. The methodology proposed in this paper consists of four central modules that constitute the building blocks of an RL solution. The first module derives the action space for the RL approach based on the underlying scheduling tasks. The second module constructs the reward function of the RL approach based on a company's individual scheduling targets. The third module derives the state vector from the components of the reward function. The last module selects an appropriate optimization algorithm for the RL approach and merges the previous modules to learn an optimal scheduling policy in a simulation environment that can be applied to real-world problems. As a result, the application of RL-based scheduling enables production systems to meet current requirements and evolve into resilient and self-optimizing systems. [ABSTRACT FROM AUTHOR]

Abstract With the rapid development of e-commerce, customers could order online to ensure timeliness. Therefore, e-commerce enterprises need to pick and distribute customers’ orders. These two operations are interdependent. Order picking needs to consider the vehicle route planning. At the same time, the vehicle route planning is also based on the batching of orders. Considering the demand surge scenario of food cold chain, with the shortest time and lowest cost to complete all distribution tasks as the objective, this paper aims at the integrated optimization of distribution scheduling and route planning, and establishes a mixed integer programming mathematical model. Finally, we design a three-stage heuristic algorithm to solve this problem, and use the actual data to carry out numerical experiments to verify the reliability and effectiveness of the mathematical model and heuristic algorithm.

With the rapid development of e-commerce, customers could order online to ensure timeliness. Therefore, e-commerce enterprises need to pick and distribute customers' orders. These two operations are interdependent. Order picking needs to consider the vehicle route planning. At the same time, the vehicle route planning is also based on the batching of orders. Considering the demand surge scenario of food cold chain, with the shortest time and lowest cost to complete all distribution tasks as the objective, this paper aims at the integrated optimization of distribution scheduling and route planning, and establishes a mixed integer programming mathematical model. Finally, we design a three-stage heuristic algorithm to solve this problem, and use the actual data to carry out numerical experiments to verify the reliability and effectiveness of the mathematical model and heuristic algorithm. [ABSTRACT FROM AUTHOR]

Purpose/objectives: The purpose of this study was to investigate whether physical distribution activities can significantly improve customer service for automotive component suppliers to Original Equipment Manufacturers (OEMs) in the Eastern Cape. Design/methodology/approach: By means of non-probability sampling, namely convenience sampling, 50 automotive component suppliers in the Eastern Cape were visited. Each business firm received four questionnaires to be completed by logistics practitioners. Altogether, 126 usable questionnaires were returned. The data were collected by means of a survey using a selfadministered, structured questionnaire. Findings/results: The results indicated that physical distribution activities, such as transportation management and order processing, were significant predictors of customer service. Practical implications: The results have managerial implications where the logistics department should continuously update its transportation and order processing systems to keep abreast of the best practices within the automotive industry. The results could be used by managers to highlight the benefits of improved customer service, focusing on a firm's transportation and order processing activities. Originality/value: Based on the results of the study, it is recommended that automotive component suppliers in the Eastern Cape employ transportation management and order processing (activities of physical distribution) to improve customer service. It is also recommended that the automotive component suppliers regularly benchmark their logistics practices against world-class business firms, as the results may have a positive effect on the way transportation and order processing activities are managed and executed if customer service is to be improved. [ABSTRACT FROM AUTHOR]

Mathematical anxiety (MA) and mathematics performance typically correlate negatively in studies of adolescents and adults, but not always amongst young children, with some theorists questioning the relevance of MA to mathematics performance in this age group. Evidence is also limited in relation to the developmental origins of MA and whether MA in young children can be linked to their earlier mathematics performance. To address these questions, the current study investigated whether basic and formal mathematics skills around 4 and 5 years of age were predictive of MA around the age of 7–8. Additionally, we also examined the cross-sectional relationships between MA and mathematics performance in 7–8-year-old children. Specifically, children in our study were assessed in their first (T1; aged 4–5), second (T2; aged 5–6), and fourth years of school (T3; aged 7–8). At T1 and T2, children completed measures of basic numerical skills, IQ, and working memory, as well as curriculum-based mathematics tests. At T3, children completed two self-reported MA questionnaires, together with a curriculum-based mathematics test. The results showed that MA could be reliably measured in a sample of 7–8-year-olds and demonstrated the typical negative correlation between MA and mathematical performance (although the strength of this relationship was dependent on the specific content domain). Importantly, although early formal mathematical skills were unrelated to later MA, there was evidence of a longitudinal relationship between basic early symbolic number skills and later MA, supporting the idea that poorer basic numerical skills relate to the development of MA.

Working memory (WM) is one of the most important cognitive functions that may play a role in the relation between math anxiety (MA) and math performance. The processing efficiency theory proposes that rumination and worrisome thoughts (induced by MA) result in less available WM resources (which are needed to solve math problems). At the same time, high MA individuals have lower verbal and spatial WM capacity in general. Extending these findings, we found that MA is also linked to the spatial coding of serial order in verbal WM: subjects who organize sequences from left‐to‐right in verbal WM show lower levels of MA compared with those who do not spatialize. Furthermore, these spatial coders have higher verbal WM capacity, better numerical order judgment abilities, and higher math scores. These findings suggest that spatially structuring the verbal mind is a promising cognitive correlate of MA and opens new avenues for exploring causal links between elementary cognitive processes and MA. [ABSTRACT FROM AUTHOR]

The logistic technologies for effective and efficient ‘order processing operations’ in the areas of tracking, shipping, replenishment, dispatching and holding of inventory are deficient in the Nigerian construction industry, when compared to manufacturing and retailing sectors. This is confirmed to have a significant effect on the performance of the construction sector. This article assessed how order processing technology utilised by manufacturing and retail industries could improve the order processing logistics operations of the construction industry. Lagos State and the F.C.T. Abuja, Nigeria, were the selected geographical study areas, from which five manufacturing companies, five retailing companies and five construction projects were purposively selected. Mixed methods research strategy was used. The research instruments included an observation guide (quantitative) and semi-structured interviews (qualitative). The collected quantitative data was analysed, using descriptive analytical tools: frequencies and percentiles. The qualitative data was analysed, using the thematic method. The result revealed that 80% and 100% of the manufacturing and retailing industries, respectively, observed, adopted barcoding technology for order processing purposes. Only 40% of the observed construction project adopted barcoding technology for order processing in the following: 2.4% for receiving process; 0.9% for put-away process; 0.9% for shipping process (stock control); 1.2% for dispatching process; 0.6% for replenishment process, and 1.2% for tracking inventory (stock tracking). In addition, 100% and 80% of the manufacturing and retailing industries, respectively, observed, adopted Radio Frequency Identification (RFID) technology for order processing purposes. Only 40% of the observed construction projects adopted RFID technology for order processing. It was also revealed that utilisation of the order processing technology could have the following benefits: managerial control in the construction industry; shorter processing time; easy way of tracking materials on site, and increased speed of work in the construction industries. The research concludes that effective utilisation of order processing technology in the logistics system could lead to full efficiency gains in the order processing aspect of the construction industry. It is recommended that the Federal Government of Nigeria should mandate all major construction project stakeholders to attend workshops on the use of recent technologies in the management of construction operations.

Processing the ordered relationships between sequential items is a key element in many cognitive abilities that are important for survival. Specifically, order may play a crucial role in numerical processing. Here, we assessed the existence of a cognitive system designed to implicitly evaluate numerical order, by combining continuous flash suppression with a priming method in a numerical enumeration task. In two experiments and diverse statistical analysis, targets that required numerical enumeration were preceded by an invisibly ordered or non-ordered numerical prime sequence. The results of both experiments showed that enumeration for targets that appeared after an ordered prime was significantly faster, while the ratio of the prime sequences produced no significant effect. The findings suggest that numerical order is processed implicitly and affects a basic cognitive ability: enumeration of quantities.

This study probed the cognitive mechanisms that underlie order processing for number symbols, specifically the extent to which the direction and format in which number symbols are presented influence the processing of numerical order, as well as the extent to which the relationship between numerical order processing and mathematical achievement is specific to Arabic numerals or generalisable to other notational formats. Seventy adults who were bilingual in English and Chinese completed a Numerical Ordinality Task, using number sequences of various directional conditions (i.e., ascending, descending, mixed) and notational formats (i.e., Arabic numerals, English number words, and Chinese number words). Order processing was found to occur for ascending and descending number sequences (i.e., ordered but not non-ordered trials), with the overall pattern of data supporting the theoretical perspective that the strength and closeness of associations between items in the number sequence could underlie numerical order processing. However, order processing was found to be independent of the notational format in which the numerical stimuli were presented, suggesting that the psychological representations and processes associated with numerical order are abstract across different formats of number symbols. In addition, a relationship between the processing speed for numerical order judgements and mathematical achievement was observed for Arabic numerals and Chinese number words, and to a weaker extent, English number words. Together, our findings have started to uncover the cognitive mechanisms that could underlie order processing for different formats of number symbols, and raise new questions about the generalisability of these findings to other notational formats. [ABSTRACT FROM AUTHOR]

The efficiency of warehouses is vital to e-commerce. Fast order processing at the warehouses ensures timely deliveries and improves customer satisfaction. However, monitoring, analyzing, and manipulating order processing in the warehouses in real time are challenging for traditional methods due to the sheer volume of incoming orders, the fuzzy definition of delayed order patterns, and the complex decision-making of order handling priorities. In this paper, we adopt a data-driven approach and propose OrderMonitor, a visual analytics system that assists warehouse managers in analyzing and improving order processing efficiency in real time based on streaming warehouse event data. Specifically, the order processing pipeline is visualized with a novel pipeline design based on the sedimentation metaphor to facilitate real-time order monitoring and suggest potentially abnormal orders. We also design a novel visualization that depicts order timelines based on the Gantt charts and Marey's graphs. Such a visualization helps the managers gain insights into the performance of order processing and find major blockers for delayed orders. Furthermore, an evaluating view is provided to assist users in inspecting order details and assigning priorities to improve the processing performance. The effectiveness of OrderMonitor is evaluated with two case studies on a real-world warehouse dataset. [ABSTRACT FROM AUTHOR]

The object of research is a distributed order processing system for a restaurant chain. The subject of the research is the analysis of the use of Redis for managing event queues in distributed systems. When implementing a distributed order processing system in a restaurant chain with a possible load of up to 20,000 users per day, the Redis system was used. Management of 9 distributed subsystems was organized through Redis. This solution showed an increase in the performance of the system under heavy load (from 50 transactions per second), but the response time of the system in some cases of its operation was longer than without using Redis. When working systems using Redis, it is necessary to take into account the amount of data with which Redis will work, since it does not exceed the amount of RAM, the absence of differentiation into users and groups, and the absence of a query language, which is replaced by a key-value scheme. This research is aimed at analyzing the operation of the system during trial operation under real load. We compared the operation of a configured system with Redis enabled and disabled. The main indicators for the analysis were the system response time and the maximum request execution time. The research was carried out for 2 weeks, the first week using the system settings with disabled Redis, the second – with enabled Redis. We selected 2 days with a similar load on the system to each other. Especially indicative are the results of comparing the durations of the longest queries, which show an almost constant value of the duration for the system in the mode of enabled Redis. The hypothesis of an increase in the system response time at low loads was confirmed, but this value not only leveled off at a load of 500 unique users but also became less at loads of 1000 unique users. [ABSTRACT FROM AUTHOR]

Recent research has suggested that numeral order processing – the speed and accuracy with which individuals can determine whether a set of digits is in numerical order or not – is related to arithmetic and mathematics outcomes. It has therefore been proposed that ordinal relations are a fundamental property of symbolic numeral representations. However, order information is also inherent in the verbal count sequence, and thus verbal count sequence knowledge may instead explain the relationship between performance on numeral order tasks and arithmetic. We explored this question with 62 children aged 6- to 8-years-old. We found that performance on a verbal count sequence knowledge task explained the relationship between numeral order processing and arithmetic. Moreover many children appeared to explicitly base their judgments of numerical order on count sequence information. This suggests that insufficient attention may have been paid to verbal number knowledge in understanding the sources of information that give meaning to numbers.

Environmental factors, such as the high number of product variants, increase the complexity of order processing (OP). Holistic decision making presents a challenge due to the lack of transparency in OP, an inadequate data basis, and the unknown effects of decision alternatives. Today's information systems and traditional calculation formulas for managing production only consider subsystems and isolated abstraction levels. As digital twins introduce new opportunities for decision support, their potential in OP is widely recognized, while their designing process still lacks research and methodologies. Consequently, we present a digital twin in OP, which enables efficient decision support. [ABSTRACT FROM AUTHOR]

The logistic technologies for effective and efficient 'order processing operations' in the areas of tracking, shipping, replenishment, dispatching and holding of inventory are deficient in the Nigerian construction industry, when compared to manufacturing and retailing sectors. This is confirmed to have a significant effect on the performance of the construction sector. This article assessed how order processing technology utilised by manufacturing and retail industries could improve the order processing logistics operations of the construction industry. Lagos State and the F.C.T. Abuja, Nigeria, were the selected geographical study areas, from which five manufacturing companies, five retailing companies and five construction projects were purposively selected. Mixed methods research strategy was used. The research instruments included an observation guide (quantitative) and semi-structured interviews (qualitative). The collected quantitative data was analysed, using descriptive analytical tools: frequencies and percentiles. The qualitative data was analysed, using the thematic method. The result revealed that 80% and 100% of the manufacturing and retailing industries, respectively, observed, adopted barcoding technology for order processing purposes. Only 40% of the observed construction project adopted barcoding technology for order processing in the following: 2.4% for receiving process; 0.9% for put-away process; 0.9% for shipping process (stock control); 1.2% for dispatching process; 0.6% for replenishment process, and 1.2% for tracking inventory (stock tracking). In addition, 100% and 80% of the manufacturing and retailing industries, respectively, observed, adopted Radio Frequency Identification (RFID) technology for order processing purposes. Only 40% of the observed construction projects adopted RFID technology for order processing. It was also revealed that utilisation of the order processing technology could have the following benefits: managerial control in the construction industry; shorter processing time; easy way of tracking materials on site, and increased speed of work in the construction industries. The research concludes that effective utilisation of order processing technology in the logistics system could lead to full efficiency gains in the order processing aspect of the construction industry. It is recommended that the Federal Government of Nigeria should mandate all major construction project stakeholders to attend workshops on the use of recent technologies in the management of construction operations. [ABSTRACT FROM AUTHOR]

The order processing of robotic mobile fulfillment systems is studied according to the difference between robotic mobile fulfillment systems and the traditional warehouse. A heuristic algorithm for shared storage optimization is proposed as the basis for research. To obtain satisfactory order sequencing and rack scheduling of dynamic picking, a hybrid algorithm is proposed, where considers the order similarity, cyclic greedy crossover, and bounce mechanism. Experimental results show that compared with other decision-making methods, the algorithm can reduce the number of times of shelf scheduling by up to 47% in small-scale problems and effectively improve the fulfillment efficiency of orders. [ABSTRACT FROM AUTHOR]

Recent studies have shown that deductive reasoning skills (including transitive and conditional inferences) are related to mathematical abilities. Nevertheless, so far the links between mathematical abilities and these two forms of deductive inference have not been investigated in a single study. It is also unclear whether these inference forms are related to both basic maths skills and mathematical reasoning, and whether these relationships still hold if the effects of fluid intelligence are controlled. We conducted a study with 87 adult participants. The results showed that transitive reasoning skills were related to performance on a number line task, and conditional inferences were related to arithmetic skills. Additionally, both types of deductive inference were related to mathematical reasoning skills, although transitive and conditional reasoning ability were unrelated. Our results also highlighted the important role that ordering abilities play in mathematical reasoning, extending findings regarding the role of ordering abilities in basic maths skills. These results have implications for the theories of mathematical and deductive reasoning, and they could inspire the development of novel educational interventions. [ABSTRACT FROM AUTHOR]