Ceyhun Ozgur

• PhD, MS, BS CPIM emeritus prof.
• Emeritus Professor at Valparaiso University

Abstract According to the Chronicle of Higher Education (2001), 15 percent of entering freshmen believe that there is a good chance they will change their college major and 8 percent are undecided. To gain insight into the criteria that students use to select a major, a model of the student decision making process was developed using the Analytic H...

Authors who write introductory business statistics texts do not agree on when to use a t distribution and when to use a Z distribution in both the construction of confidence intervals and the use of hypothesis testing. In a survey of textbooks written in the last 15 years, we found the decision rules to be contradictory and, at times, the explanati...

A new scheduling framework (priority class scheduling) is devised which reduces the conflict in the manufacturingmarketing interface. Priority class scheduling rewards manufacturing for making small improvements in efficiency, involves marketing in the setting of production priorities, improves customer service by putting in place realistic product...

We present the Hierarchical Composition (HICOM) heuristic procedure for single machine scheduling with sequence dependent setups that minimizes the total setup time. The heuristic is a two-stage procedure that takes advantage of the natural product groupings, and can be used in a group technology environment. Computational results show that HICOM r...

Teaching statistics with the aid of software tools with emphasis on MINITAB using MACROS This article explores the significance of key statistics software tools in teaching statistics and designing experiments. This is especially true in humanities and business science, with a focus on assessing teaching effectiveness through student outcomes, meas...

Supply chain disruptions are multifaceted phenomena with numerous underlying causes that can lead to significant challenges for businesses. These disruptions often stem from breakdowns in communication at various stages of the supply chain network. One common scenario involves miscommunication between manufacturing facilities and warehouses, where...

Valparaiso University

The Supply Chain Disruptions Affect the Levels of Inventory of the Firm. This in turn also effects the price of the company stock. The charges in Inventory may be an increase or decrease. Our research is able to show what happens to the firm stock either before or after experiencing charges in Supply chain disruptions or the Levels of Inventory.

Teaching statistics with the aid of software tools with emphasis on MINITAB using MACROS This article explores the significance of key statistics software tools in teaching statistics and designing experiments. This is especially true in humanities and business science, with a focus on assessing teaching effectiveness through student outcomes, meas...

This paper discusses the effect of supply chain disruptions post COVID19. It includes the effects of underage and overage of inventory

Reducing Supply Chain Disruptions During COVID19 is a priority. We are going to reduce Supply Chain Disruptions Using Fluctuations in Inventory. We are going to look at the effects of Inventory overage as well as Inventory not maintained

Supply Chain Disruptions Involving changes in Inventory. This paper discusses the effects on supply chain disruptions on the levels of inventory. How does the increasing levels of inventory effect the supply chain and vica versa.

The Effects of Supply Chain Disruptions are explained. How does the changes of inventory change the profitability of a company

Supply Chain Disruptions effect Businesses negatively . It impacts inventories especially during the Era of Covid19.

Supply Chain Disruptions Management

Supply Chain Disruptions Post COVID-19. This paper discusses the effects of various supply chain disruptions including lack of inventory and the effects of excess supply.

There were many papers in the literature about supply chain disruptions and it is effect on the stock market. However, there hasn't been the effect of supply chain disruptions on the tactical measures such as lateness and tardiness. In this paper, we will explore how supply chain disruptions affect tactical elements such as make to order or make to...

We need to add a description and basic explanations of Covid-19. Where it was originated, how many human lives were lost in the U.S. How can this be compared to other countries worldwide? How can we compare the number of cases and number of deaths among various countries around the world? For example, how the # of deaths and # of cases compare betw...

There are many reasons for experiencing supply chain disruptions. The reasons could be miscommunication between the factory and the warehouse, miscommunication between the warehouse and the stores, or miscommunication between the stores and the customers. We investigated these possible disruptions throughout this paper with the help of a questionna...

discuss supply chain disruptions.in Covid19 era

Efficiencies and Inefficiencies in Operations Management

In the recent past, universities and college/school of businesses have been challenged with maintaining and increasing student enrollment. Novel and up-to-date curriculum that meets the needs of the industry could help in addressing this issue. In this paper, we elaborate on the development of an innovative undergraduate major and minor in supply c...

This paper aimed to materialize how to teach forecasting and predictions to undergraduate students.There are two modes of thinking, including the determination of forecasters and forecast errors. To determine thebest forecast, we have to use the methodology of minimizing sums of forecast errors, which is further discussed inthis paper. An example o...

Supply Chain Disruptions Post COVID-19 involving inventories

This paper aims to materialize how to teach forecasting and predictions to undergraduate students. There are two modes of thinking, including determination of forecasters and forecast errors. In order to determine the best forecast, we have to use the methodology of minimizing sums of forecast errors which is further discussed in this paper. An exa...

We schedule garbage trucks in a city using traveling salesman problem (TSP)

Minitab is another software programming language that can utilize all of the benefits of other programming languages such as R, Python, Excel, SAS and SPSSS. Curfr6ently the company is at its 18 edition. However, It is not only at its 18 th edition, but it is also a good addition to teaching using MINITAB. We can utilize this basic software that is...

There are many reasons for experiencing supply chain disruptions. The reasons could be miscommunication between the factory and the warehouse, miscommunication between the warehouse and the stores, or miscommunication between the stores and the customers. We investigated these possible disruptions throughout this paper with the help of a questionna...

When it comes to data science one of the most common points of debate is R vs SAS vs Python. It is a well-known fact that R Python and SAS are the most important three programming languages to be learned for data analysis by data scientists.

This presentation uses forecasting and forecast error in the form of exponential smoothing and business analytics. In addition, this presentation uses machine learning and artificial intelligence in preparing forecasts.

How Supply Chain Management Disruptions can be managed using Logistics.

In this chapter, we include a discussion of two analytic models first Hadoop and second Microsoft Cloud, and how they can help or assist the IT manager in companies. Hadoop uses both Distributed File-System and MapReduce in performing Analytics. On the other hand Microsoft Cloud makes use of OpenShift. What makes this chapter unique is that it comb...

This paper discusses how R Python and SAS can be used to predict bank failures and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these softwares, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

This paper utilizes the comparison of Python and R and its advantages when teaching a wide variety of business/analytics courses for students. In order to solve business problems for the respective companies, Python and R are compared. An example of a utilization method for Python and R include teaching correlation coefficient with both Python and...

This paper discusses how R Python and SAS can be used to predict bank failures and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these softwares, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

This paper discusses how R Python SPSS and SAS can be used to predict bank failures and the benefit that it would have to company’s futures. By using stable forecasting, investors can predict the future bank failures. By using these software organizations can govern the life cycles of their inquiries and be strategic in their in their future financ...

Unfortunately, all forecasts have some inherent error. Some errors in forecasting should be expected because there are unexplained or unpredictable fluctuations in the data. If the error is smaller than expected, the forecast will be more accurate. However, if the error is larger than expected, the accuracy of the forecast is limited. We are going...

Supply Chain Disruptions

Supply Chain Disruptions in the Post COVID era

There are many reasons for experiencing supply chain disruptions. The reasons could be miscommunication between the factory and the warehouse, miscommunication between the warehouse and the stores, or miscommunication between the stores and the customers. We investigated these possible disruptions throughout this paper with the help of a questionna...

This paper discusses how R Python SPSS and SAS can be used in research and the benefit that it would have to company’s futures. By using stable forecasting, investors can predict the future bank failures. By using these software packages, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

This paper discusses how R Python SPSS and SAS can be used in research and the benefit that it would have to company’s futures. By using stable forecasting, investors can predict the future bank failures. By using these software packages, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

Teaching Forecasting  Forecasting is the ability to predict the future  Predict (Latin)  Otherworldliness of the Holy Roman Empire  Soothsayers do  Two Modes of Thinking  System 1  Automatic and Fast  Constant Low-Level Predictions  Accuracy Seldom Determined  System 2  Effortful  Complex computation  We can also determine the forecast...

This paper discusses how R Python SPSS and SAS can be used in research and the benefit that it would have to company’s futures. By using stable forecasting, investors can predict the future bank failures. By using these software packages, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

Prediction models are an important part of financial research. In this paper, we review statistical prediction models, their application to finance, introduce Machine Learning methods for financial prediction, and investigate their use in banking research. By using stable statistical prediction, investors and regulators can hope to predict future b...

Estimating the banking failures within the US is a priority in this research. We try to determine the independent variables that could be used to determine the banking failures. However, we try to use robust estimation in order to predict failing banks. We use R and SAS to determine the bank failures, therefore, R and SAS are utilized in predicting...

This paper utilizes the comparison of Python and R and its advantages when teaching a wide variety of business/analytics courses for students. In order to solve business problems for the respective companies, Python and R are compared. An example of a utilization method for Python and R include teaching correlation coefficient with both Python and...

Analytics approach towards business problems

Teaching Forecasting  Forecasting is the ability to predict the future  Predict (Latin)  Otherworldliness of the Holy Roman Empire  Soothsayers do  Two Modes of Thinking  System 1  Automatic and Fast  Constant Low-Level Predictions  Accuracy Seldom Determined  System 2  Effortful  Complex computation  We can also determine the forecast...

Undergraduate and graduate programs conducted with the names of Business Analytics, Data Analytics, Big Data Analytics and Business Intelligence have become one of the most discussed topics in academia and in the market nowadays. This current discussion is due to the increasing importance of the management and analysis of Big Data, which has emerge...

The Use of Analytics in management

Selection of independent variablesi n multiple regression equation

This paper discusses how R Python SPSS and SAS can be used in research and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these software packages, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

This paper discusses how R Python SPSS and SAS can be used in research and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these software packages, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

This paper discusses how R Python SPSS and SAS can be used to predict bank failures and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these softwares, organizations can govern the life cycles of their inquiries and be strategic in their in their future fina...

This paper discusses how R Python SPSS and SAS can be used in research and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these software packages, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

we presented this paper at a conference. We emphasized the use of MINITAB

There are many reasons for experiencing supply chain disruptions. The reasons could be miscommunication between the factory and the warehouse, miscommunication between the warehouse and the stores, or miscommunication between the stores and the customers. We investigated these possible disruptions throughout this paper with the help of a questionna...

This paper discusses how R, Python, SPSS, SAS, and MINITAB can be used to predict bank failures and benefits that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these software's, organizations can govern the life cycles of their inquiries and be strategic in their future fin...

this paper shows the kind of papers that can be submitted for Decision Sciences Journal of Innovative Education. 1. Empirical Research Papers 2. Conceptual Research Papers 3. Teaching Briefs (classroom experiments that utilize classroom data, using experimental data analysis utilizing classroom data)

The Effect of Supply Chain Disruptions on Average Lateness and Tardiness On this research project, we can look at the effect of supply chain disruptions at a tactical level instead of at a strategic level and look at the effect of disruptions on lateness or tardiness of jobs and. Also consider whether the firm operates as a make to stock (MTS) or m...

During the time of Covid-19 it is important to disrupt the supply chain disruptions. For example, we should reduce the shortages with respect to vaccines, facemasks, syringes. We need to add a description and basic explanations of Covid-19. Where it was originated, how many human lives were lost in the U.S. How can this be compared to other countri...

This is the first research article that attempts to relate public service to managing an organization and explains systems with realistic yet simplistic examples. This paper is the first of its kind to relate public service to managing organizations that relate public service such as parks and police. It measures and implements maximin value functi...

This paper utilizes the comparison of Python and R and its advantages when teaching a wide variety of business/analytics courses for students. In order to solve business problems for the respective companies, Python and R are compared. An example of a utilization method for Python and R include teaching correlation coefficient with both Python and...

This paper discusses how R Python SPSS and SAS can be used in research and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these software packages, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

This paper discusses how R Python SPSS and SAS can be used in research and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these software packages, organizations can govern the life cycles of their inquiries and be strategic in their in their future financial...

There were many papers in the literature about supply chain disruptions and it is effect on the stock market. However, there hasn't been the effect of supply chain disruptions on the tactical measures such as lateness and tardiness. In this paper, we will explore how supply chain disruptions affect tactical elements such as make to order or make to...

There were many papers in the literature about supply chain disruptions and it is effect on the stock market. However, there hasn't been the effect of supply chain disruptions on the tactical measures such as lateness and tardiness. In this paper, we will explore how supply chain disruptions affect tactical elements such as make to order or make to...

The Effect of Supply Chain Disruptions on Average Lateness and Tardiness On this research project, we can look at the effect of supply chain disruptions at a tactical level instead of at a strategic level and look at the effect of disruptions on lateness or tardiness of jobs and. Also consider whether the firm operates as a make to stock (MTS) or m...

How to prepare a submission for Decision Sciences Journal of Education (DSJIE) There are three types of paper a researcher can submit to (DSJIE). 1. Empirical Manuscript, Based on, concerned with, or verifiable by observation or experience rather than theory they provided considerable empirical evidence to support their arguments 2. Conceptual Man...

There were many papers in the literature about supply chain disruptions and it is effect on the stock market. However, there hasn’t been the effect of supply chain disruptions on the tactical measures such as lateness and tardiness. In this paper, we will explore how supply chain disruptions affect tactical elements such as make to order or make to...

There are three types of paper a researcher can submit to (DSJIE). 1. Empirical Manuscript, Based on, concerned with, or verifiable by observation or experience rather than theory they provided considerable empirical evidence to support their arguments 2. Conceptual Manuscript Conceptual Manuscript is based on the mental concepts or ideas to expla...

In today’s turbulent pandemic environment, individuals with big data and supply chain analytics capability will continue to be in high demand. To reflect this new reality, universities will need to modify course content and pedagogy to meet industry needs. Based on industry data and an extensive literature review, we derive a course mapping model....

2021 Midwest Decision Sciences Institute conference Submission of an abstract Author Ceyhun Ozgur A Literature Review of Single Machine Problem for Products with part families This problem is related to m machine flow shop, assignment and traveling salesman problems This problem involves disruptions to supply chain management and oil prices, busin...

Estimating the banking failures within the US is a priority in this research. We try to determine the independent variables that could be used to determine the banking failures. However, we try to use robust estimation in order to predict failing banks. We use R and SAS to determine the bank failures, therefore, R and SAS are utilized in predicting...

This paper shows the advantages and disadvantages of using Python and R in teaching various types of students based on the latest data. We also compare Python and R in solving business problems for actual companies. We give some examples of how to utilize both Python and R. For example, we provide examples of teaching correlation coefficient both w...

This paper shows the advantages and disadvantages of using Python and R in teaching various types of students based on the latest data. We also compare Python and R in solving business problems for actual companies. We give some examples of how to utilize both Python and R. For example, we provide examples of teaching correlation coefficient both w...

The Effect of Supply Chain Disruptions on Average Lateness and Tardiness On this research project, we can look at the effect of supply chain disruptions at a tactical level instead of at a strategic level and look at the effect of disruptions on lateness or tardiness of jobs and. Also consider whether the firm operates as a make to stock (MTS) or m...

How a paper should be submitted to Decision Sciences Journal of Innovative Education (DSJIE). There are three types of papers to be submitted to DSJIE. 1. Empirical Research manuscripts, 2. Conceptual Research manuscripts, 3. Teaching Briefs We also must consider different types of journals that accepts teaching oriented business manuscripts. 1. D...

In this paper, some novel MINITAB macros are developed performing abundant applications i.e. statistical operations: (i) a curve-fitting macro examining 27 important algorithms, (ii, iii) post-ANOVA analyses including orthogonal contrasts and relative efficiency (RE) methodology in comparing two experimental design, (v) multivariate path analysis m...

This paper discusses how R Python SPSS and SAS can be used to predict bank failures and the benefit that it would have to company's futures. By using stable forecasting, investors can predict the future bank failures. By using these softwares, organizations can govern the life cycles of their inquiries and be strategic in their in their future fina...

In environments characterized by turbulence, economic turmoil and uncertainty along with dramatic advancements in available technology and information availability, individuals with big data and supply chain analytics capability will continue to be in high demand. To reflect this new reality, universities will need to modify course content and peda...

This paper examines analytics and how changes have given rise to several new programs. This paper also provides discussion on these programs and how the programs approach large analytics and allay the concerns of ever-growing data files. After examining the basics, (Hadoop and Cloud services) further exploration develops by looking at complementary...