Firstly, the main objective of production and operation management is to manage the resources of the firm. The main difference between production and operation management is that production management focuses on the production of goods and services. On the other hand, operation management includes activities like comprising supervisions, planning and designing of business operations. It can also be said that the production management is also a part of operation management.

Production management and operations management are management jargon that needs to be simplified for those who are sitting on the fence or those inside an organization unable to comprehend them clearly. Lastly, both are part of business activities and both are required to run the business smoothly.

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What is Production Management?

Production management performs many tasks regarding the production of goods and services. It is a process of planning, scheduling, supervising and controlling the activities involved in the production of goods and services. The main objective of product management is to produce the right quality at the right time and at the cheapest price.

Basically, production management is found in enterprises where production is found. The Production Management alludes to the utilization of administration requirements to the technology work in an industrial facility. Production administration is the process of viable arranging and controlling the operations of that space of an enterprise which oversees the real change of supplies into accomplished objects. In this process of production management the decision regarding the quality, quantity, price, packaging, design, etc. are taken by the production manager.

What is Operation Management?

Operation management gives the insurance of smoothness and effectiveness of the operation in the organization. Basically, deals with designing, implementing and controlling system of the management.

The main objective of the operation management is to make sure that that the operation of business runs effectively and result in the minimum of wastage. Operations administration handles totally different very important points together with deciding the span of assembling crops and enterprise administration strategies and actualizing the construction of information innovation techniques. It ensures the supplies and work, or another data is utilized as a part of the very best and productive route conceivable inside an affiliation – alongside these strains amplifying the yield.

The operations chief wants to consider the common key methods, structural materials arranging, assembling and creation frameworks, and their examination. Operations Management is all about the optimum utilization of the company’s resources.

What is the difference between production management and operations management?
The production Management of any Company or Firm is responsible for providing high quality goods or items in the required quantity at the right time and suitable market price.
where as operation Management aims to manage the administrations and business operations related to the manufacturing of goods by using the resources of the organization in the best possible way.
Both Production Management and operation management aims to fulfil the customer’s wants and needs. So the company can progress and the cycle goes on.

To further understand the differences lets dive deep into this topic below.

Key Differences between Production Management and Operations Management

1. Production Management can be defined as the administration of the set of activities concerning the creation of goods or the transformation of raw material into finished goods. Conversely, Operations Management is used to mean that branch of management which deals with the administration both production of goods and provision of services to the customers.
2. Production Management can only be found in firms where the production of goods is undertaken. Unlike, one can find operations management in every organization, i.e. manufacturing concerns, service-oriented firms, banks, hospitals, agencies, etc.
3. Production administration requires no enter from the shopper, however, operation administration takes enter from the shopper as they make the most of companies.
4. Production administration requires extra capital gear to make the product in the beginning and much less labour because it offers with the units. On the opposite hand, operation administration requires much less capital funding however wants extra work as folks need immediate outcomes.
5. Operation Management turns into referred to as the method that offers the administration aspect of the issues relating to the enterprise actions and the processes coping with effectivity throughout the group.

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Conclusion

Thus, production and operation management are related to each other. Sometimes people found difficulty in differentiating them. Production management involves in all the activities which are related to the production of goods and services. On the other hand, Operation management is related to all the activities regarding management like production of the good, delivery of services, the quantity of product, quality of product and also meet the customer demands. In conclusion, both are the most important management activity.

DSS stands for Decision Support System and is a computerized system for information that helps with the decision making within an organization or a business community. BI stands for Business Intelligence and acts as a term used to describe various software programs that help with the organization and management of data and other valuable information within an organization.

Comparison Chart

What is DSS?

DSS stands for Decision Support System and is a computerized system for information that helps with the decision making within an organization or a business community. The primary task for the system becomes the analysis of bigger areas of data and compilation of information.

The DSS is a data application that produces far-reaching data. It is not quite the same as an operations application, which would be utilized to gather the information in any case. Mid-to upper-level administration employs a DSS, and it is crucial for seeing a lot of information. For instance, a DSS could be used to extend an organization’s income over the up and coming six months given new suspicions about item deals. Because of the substantial measure of factors that encompass the anticipated revenue figures, this is not a precise count that should be possible by hand.

A DSS can incorporate numerous factors and create a result and interchange results, considering the organization’s past item deals information and current factors. A choice emotionally supportive network may exhibit data graphically and may incorporate a specialist framework or human-made brainpower (AI). It might be gone for business officials or some other gathering of information laborers. The idea of choice support has developed chiefly from the theoretical investigations of authoritative primary leadership done at the Carnegie Institute of Technology amid the late 1950s and mid-1960s, and the usage work done in the 1960s. DSS turned into a territory of research of its own amidst the 1970s, preceding picking up in power amid the 1980s.

In the center and late 1980s, official data frameworks (EIS), common choice emotionally supportive networks (GDSS), and hierarchical decision emotionally supportive networks (ODSS) developed from the single client and model-situated DSS.

What is BI?

BI stands for Business Intelligence and acts as a term used to describe various software programs that help with the organization and management of data and other valuable information within an organization. It includes several activities such as data mining, online processing, reporting, and querying.

Business Intelligence frameworks give authentic, current, and prescient perspectives of business operations, regularly utilizing the information that has been assembled into an information distribution center or an information shop and at times working from operational information. Programming components bolster revealing, intuitive “cut up” rotate table examinations, perception, and measurable data mining. Applications handle deals, creation, money related, and many different wellsprings of business information for purposes that incorporate business execution administration.

Data frequently assemble about the various organizations in a similar industry which are known as benchmarking. As of now, associations are beginning to see that information and substance ought not to be viewed as independent parts of data administration, but rather ought to oversee in a coordinated venture approach. Undertaking data policy brings Business Intelligence and Enterprise Content Management together.

As of now, associations are moving towards Operational Business Intelligence which is as of now under served and uncontested by merchants. Customarily, Business Intelligence merchants are focusing on just top the pyramid however now there is an outlook change advancing toward Taking Business Intelligence to the base of the pyramid with a concentration of self-administration business insight.

These frameworks will outline business knowledge in the zones of client profiling, client bolster, statistical surveying, showcase division, item benefit, factual investigation, and stock and dispersion examination to give some examples.

Quick Difference Between DSS and BI
DSS helps the organizations or users to analyze data/information to make decisions. DSS is required by organizations or users because the MIS (Management information systems) and TPS (Transaction Processing Systems) lack the ability to generate reports that help in making specific decisions for the organization or community.
Where as BI is term that talks about various type of software and applications that can be used to manipulate data/information such as for storing, analyzing and acquiring. More accurate and sound decisions can be made with help of BI.

Key Differences between DSS and BI

1. DSS stands for Decision Support System and is a computerized system for information that helps with the decision making within an organization or a business community. On the other hand, BI stands for Business Intelligence and acts as a term used to describe various software programs that help with the organization and management of data and other valuable information within an organization.
2. The DSS helps the user to find out the errors that exist within the program and aid them to analyze the information to make decisions. On the other hand, BI helps with the automatic analysis and therefore gives suggestions that just have the implementation phase left to act.
3. The DSS takes more time for the beginning to the implementation since the processes involved require time and mostly include manual handling. On the other hand, the BI takes less time to complete all the features since the computer thinks for itself and hence, does not require manual handling.
4. Some of the primary applications for the DSS include the sales order, material requirement, planning of results, inventory records, and financial data among others. On the other hand, some of the primary applications of BI include decision support system, query, reporting, analytical processing, statistical analysis and data mining.
5. The DSS has originated from the BI, but the most used process currently remains the first.

Since the world came into being, the invention of writing is termed as one of the biggest revolution as it eased the way to communicate people with each other and most importantly it also played pivotal role in cultural transmit from one generation to another. Now the thousands of years have passed, and writing has become a way complex than it was before as it can be sub divided in many genres and types and everyone of it occupies its own specific audience.

Technical writing and creative writing are two types of writing, which can be distinguished easily by looking at their traits. The main difference between both of them is that, creative writing is written to enthrall, entertain and arouse a certain felling in a reader, whereas technical writing is to educate the audience with the factual information and is presented in a logical manner.

What is Technical Writing?

Writing is nowadays one of the vast field as it is not just restricted to writing on papers or magazines. It further possess many types, which generate hefty revenues, beside the fact that common people are just aware of two types of writings, fiction writing and nonfiction writing.

Technical writing’s main purpose is to educate people in a logical way that might cause boredom for the audience. As in technical writing, the facts are being displayed and most often the examples placed in it are also rigid that can be felt by the one who reads the whole context and can deal with the logic inside.

At the end of the day, we can say that one doing technical writing should have got his/her formal education properly. It is mostly about the field experts of different, who tried to prove their point by quantitative-qualitative experiment, by applying some formulas or in any other way. While doing this, the writer might also made some figures or give examples but these examples are strictly limited to the point being explain as one doesn’t presents example of scenarios intending to captivate you.

What is Creative Writing?

It is something far beyond the boundary, with aiming to entertain the viewers and to make them imagine of what the writers are willing to provoke.  Here it should also be kept mentioned that all of the creative writings are to entertain but some along with it also holds some strong message, or it won’t be wrong to say that these writings are done to prove that point. But in this the typical formula or facts are not applied, they excite you by making you believe in the story in real. Finally, we can say they entertain and educate together but are written informally, might be imaginary to excite the audience.

One writing creative writing always get it clear in his/her mind that what he is going to write should be accepted by most of the people as generally speaking these writings are for everyone with sound mind which can feel the realness even in some self-made characters. In this it won’t affect that if the writer is not that much expert in something as it can be done by person from any group age, who gets his idea in a proper sequence and plays with the nerve of a reader.

If you are thinking to pursue a career in writing, you first goal should be find out whether your
skillset falls in category of Creative writing or technical writing. Many of the skills required
for both disciplines are common, but having a clear understanding of where your strength lie, will definitely help
you choose a perfect and more rewarding writing career.

I hope this article will help you draw a line between the two types of writing. And help you choose the
best option for your career.

The main features that distinguish Creative writing from Technical writing are:
Creative writing is mainly focused on imagination and invention. Creative writing requires writer to
use his own creativity, imagination power, and unique style to present some sort message or arouse a certain felling in a reader.
Creative writings are used to entertain, provoke, inspire the reader.

Technical Writing includes factual and straight forward content which are mainly focused to inform and educate the readers about
a particular subject or topic. The people that read this writing falls into a specific group.
information and directions on a specific topic, technique or method of doing something can be found in technical writing.

Key Differences between Technical Writing and Creative Writing

1. In creative writing the most of the part is self-created, although the idea might be inspired but in technical writing the facts are to be obliged and the note is delivered from leading on what previously other greats have concluded.
2. Most commonly, the creative writing is for general audience or for masses but technical writing is for specific audience.
3. The creative writing entertains people as it has poetry or some illustrations or another idea, whereas the technical writing causes boredom as it follows the strong pattern based on facts and is just to transfer the information to the audience.
4. In technical writing the specialized vocabulary, such like scientific terms and other are used while in creative writing, one can go with slang or evocative phrases or even something which can can be perceived well by the audience.
5. Humor, satire might be the useful essences in creative writing but such thoughts or ideas have no link with the technical writing.
6. Novel writing, poetry writing, satirical note are some of the types of creative writing, whereas report analysis, proving formulas are types of technical writing.
7. A formal education of the technical writer seems necessary whereas, it’s never a milestone in between becoming a creative writer.

Questionnaires and Interviews both imply asking questions to the respondents who are supposed to answer them precisely. However, there is a big difference between the two. Questionnaires restrict the response of the respondents with closed-ended questions whereas interviews invite the opinions of the respondents with open-ended questions.

Before we jump deep to explain the difference between Questionnaire vs Interview
Let’s first try to understand the difference between Open-ended questions and Closed-ended questions.

What are Open-ended Questions?

Open-ended questions can’t be answered in one word. Instead open-ended question leads to a conversation.
The respondent don’t need to choose from a pre-selected options, instead he can come up with his unique answer.
These questions require the respondent to elaborate on their thoughts.

Example : How do you see your future?
What is the purpose of government?

What are Closed-ended Questions?

Closed-ended questions comes in various forms that include multiple choice questions,
drop down menu, selecting options using checkboxes, and ranking questions.
So basically the respondent has to choose answers from a list of pre-selected options rather then
coming up with his own unique and unanticipated answer.
Example:

Are you satisfied with the new interface of diffzi.com ?” → Yes/No/Mostly/Not quite).
“Are you hungry?” → Yes/No

Yet both of them are resources of data collection. During the research, once the research problem is traced out and the research design is laid out, the task of data collection begins. Data is collected by primary resources like observation, survey, questionnaire, interview, etc and by secondary resources where the information is retrieved from some book, journal or newspaper.

We can email or mail the questionnaires to the respondents and get them answered at a distance since they are a set of questions on a piece of paper. However, for an interview physical presence is needed since it is one to one interaction. Here the respondents are asked questions directly. Nevertheless, remote interviews may also be taken on the telephone or online.

Although questionnaires and interviews are sources of primary data collection there is a lot of difference between the two. The questions in an interview can have a change in the order and arrangement of the questions whereas in a questionnaire the questions are in a fixed order and have a more rigid nature.

Furthermore, the information achieved in a questionnaire is factual whereas in an interview it is more analytical than factual. Hence interviews and questionnaires are different in many ways.

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What is a Questionnaire?

A questionnaire is a tool used for research, which comprises a list of questions, with a set of multiple choice answers. These questions can either be on a printed piece of paper or provided on software where the correct option is to be selected. Generally, questionnaires are delivered to the persons concerned either by post or e-mail, requesting them to answer the questions and return it. The informants are expected to read and understand the questions and reply from the options of answers given for each question.

The questionnaire translates the required information into a series of questions, from which the respondents are to answer the one which they find more appropriate. A questionnaire is supposed to have relevant questions so that the respondents find it useful and engaging.

There are many advantages of piloting a questionnaire:

1. It is a cheap method of data collection.
2. It invites answers from a large sample of different backgrounds.
3. It gives time to respondents to think before they answer.
4. People living at a distance can also be invited to participate in the questionnaire.

Thus it is a feasible way of getting a response from a large group of people in a relatively short time.

What is an Interview?

In an interview, the data is directly collected by asking questions one to one. It is an in-depth conversation between the interviewer and the interviewee. The purpose is to extract opinions and gather information. The interaction is formal and the questions asked have been piloted beforehand. The session takes place orally and the responses are written down or mostly recorded and then transcribed.

This is considered to be an accurate method of data collection because the interviewer probes well into the question and extracts precise information through face-to-face interaction. There are fewer chances of misinterpretation of the data since the confusions can be clarified instantly by asking questions further on.

Interviews may be classified into two kinds:

Personal Interview: This is the most common mode of the interview where the physical presence of the interviewee is compulsory at the venue of the interview.

Telephonic Interview: In this kind of interview the physical presence of a person is not necessary and the interview is managed online by fruitful conversation and a question-answer session.

Key Differences between Questionnaire and Interview

The differences between a questionnaire and an interview can be drawn precisely on the following points:

1. A document comprising of a series of written or printed multiple-choice questions, to be marked by the recipients, is called a questionnaire. Whereas a formal conversation between the interviewer and the interviewee respondent where the two of them participate in a question-answer session is called an interview.
2. The method of collecting data in a questionnaire involves mailing the questionnaire to the respondents in a written format. On the contrary, the interview method is one wherein the interviewer communicates to the respondent verbally face to face or online.
3. The questionnaire is chiefly objective in nature whereas an interview is subjective
4. An interview has open-ended questions on which the interviewer can prompt whereas the questions of a questionnaire is close-ended that invites a specific response.
5. The order of questions in an interview can be altered according to the response of the interviewee whereas the questionnaire remains unaltered in all ways.
6. The data collected through an interview is more expensive than that of a questionnaire since it generally involves a recorder and other technical gadgets.
7. With the questionnaire, the respondents have plenty of time to think before they mark the final answers however the interviewee has to give abrupt answers and has lesser time to think before responding.
8. Yet it is up to the person who fills the questionnaire to fully respond to it or give a partial response. The researcher has no control over the number of answers gathered. Whereas the interviewer manages to get a response to all of its questions by the continuous stimulus.

Conclusion

Both questionnaires and interviews are primary sources of data collection methods. Each has its pros and cons and hence depending on the need of the research project they should be selected carefully. An interview has higher investment and seems a more accurate source of data collection whereas; a questionnaire invites a larger sample of people who may be distant and have a different background. Thus a questionnaire is far cheaper and requires less investment of time. Hence considering the research needs each method should be selected carefully.

References

Wikipedia: Questionnaire
Wikipedia: Interview