ANLY482 AY2017-18T2 Group13 Project Overview Ver2

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PROJECT OVERVIEW


Underperformance such as delays in order fulfillment can be very costly to a logistics company. Hence, Logistics Company XYZ makes it a point to resolve these issues with utmost importance. In the context of this company, processing and packaging are done according to the order requirements during ground operations of the company in which delays can be a result of worker or non-worker related reasons.

Processes can also be inevitably skilled labor intensive. Due to this nature, a single error in the fulfillment of a job is very costly and critical to the whole ground operation process. The company, hence, has made an extra effort to ensure their employees are well-informed of safety protocols and equipped with relevant training to manage risks and complete the job in an accurate, timely manner. This is currently done by training of onsite workers - after being identified their roles, they are required to undergo a number of training courses (i.e. orientation) to be certified as competent to their assigned orders.

In this project, we will be exploring the reasons for retention of employees and allocation of resources to new hires. The project will be broken down into 2 phases which can be described as the following:



Phases Description
Phase 1 a. Identify core activities in the Singapore activities -

By identifying core activities, we will be able to target key areas that affect performance indicators.

b. Explore factors causing delays in these top 5 most commonly delayed processes -
Factors will include worker related factors (e.g. training, department)

d. Analyze employee’s training records across 4 years -
Trends and patterns in training records (e.g. department, training history) will be analyzed and crossed reference with findings in the above mentioned steps

e. Analyze employee staff records across 4 years -
Trends and patterns in employee retention and employee recruitment for operators and technicians will be analyzed and crossed reference with findings in the above mentioned steps

Phases 2 Using the insights and analysis generated from Phase 1, the team will be focusing on the following in Phase 2


a. Highlighting gaps in training structure between business units
b. Identifying gaps in resource allocation for new hires
c. Propose recommendation to help the Human Resource department streamline training effectiveness and management of human resources
d. Build an analytical dashboard for monthly reporting purposes and budget monitoring


SCOPE OF WORK


Due to the time and resource constraints of the project, the project scope will be narrowed down to analyze the Singapore office of Logistic company XYZ only. In addition, this project will be focusing on the competency of the workforce concentrated in 2 major business units critical to the company performance.


MOTIVATION


As mentioned above, order fulfillment is a key milestone in the company's business. However, the company experiences that the orders are sometimes delayed. There are different causes for delay and we divide those into three different categories based on the subject that actually caused delay: Worker, Order, Equipment. By looking at these different areas and analyzing data to gain critical insights, the company would be able to reduce disruptions to its ground operation and therefore to result in a successful fulfillment of the order to the client.


OBJECTIVES


Given the data that the human resource department has been collecting, the main objective of this project is therefore to make sense of this data and introduce analytical methods in which the human resource department can use to effectively manage employee retention, their training progression in the company and company performance. Logistic companies have over 120 different processes in which different skilled employees are needed. First, we identify the key processes that are core to the business. The delays can vary with worker or non-worker related factors. In the case where the delays are caused by worker related factors, we aim to utilize the information from the data provided to analyze the training records of the employees, discover training trends within the company, for example, what training courses the workers lack in fulfilling the order requirement, what courses fail to equip the workers with required skill set, etc. In addition, we aim to help the company in providing ways to investigate employee retention rates and historical key performance indexes.

In this project, we hope to achieve the following objectives:
1. Study business model
2. Review existing models
3. Understand nature of data
4. Clean, explore, process data
5. Make discoveries/insights for Logistics Company XYZ to effectively manage resources and training for its employees
6. Propose key recommendation to help the Human Resource department streamline training effectiveness and human resource management through the use of analytics and analytical data
7. Create a centralized dashboard to reflect training, employee retention, key performance indexes for human development for optimized decision making within the human resource department


DATA


The main analysis is done with employee training data, employee staff list and historical key performance data, from which our group discover training and performance trends in respective business divisions. This data is obtained from Terex, a software that contains employee training data and is managed by the company's Human Resources department.

The following is a list of data fields obtained from the sponsor company.

Metadata Staff List Grp13.png



Metadata Training Record Grp13.png


METHODOLOGY


Currently, the team will attempt to study the data with the following methods.

Stage Description Status
Data cleaning To remove incomplete and invalid records Completed
Data exploration To study frequencies, distribution, outliers, general patterns of datasets Completed
Literature Review To research and analyze ways and methods to construct effective HR visualization dashboard Completed
HR Dashboard To build analytical dashboard Completed